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Informatica Cloud MDM - Reference 360

gal.garniek@gembo.co — Mon, 03 Oct 2022 06:21:08 GMT

About Informatica

The digital revolution has escalated expectations and businesses globally must match them to stay relevant. People now expect better services, faster delivery, and reduced costs.

Informatica, being the global leader in Enterprise Cloud Data Management, is all set to help your business succeed in your niche. It provides you with the foresight to become more agile, realize new growth opportunities, or create new inventions. It provides the adaptability required to succeed in your industry with an emphasis on data. Learn more about Informatica and how to use data to create your next smart disruption.

Introduction

The success of any business is largely dependent on its open flow of information, and this dependency comes with its own set of liabilities. Organizations are continuously struggling to achieve a balance of open and secure. Using Cloud Master Data Management (MDM) for integrating data from multiple sources into a single system complicates the security model and governance requirements. Hence, having an appropriate and reliable security mechanism in place is very critical for ensuring that you can securely share data with internal and external entities and each of these entities has the right level of access as and when needed.

Informatica MDM Cloud — Reference 360 helps you meet all these requirements while also enabling users to master their reference data and adhere to any regulatory obligations.

Informatica’s Intelligent Cloud Services (IICS, now IDMC) comes with a security framework built into it making the Informatica MDM Cloud — Reference 360 service offerings, the most comprehensive and flexible security framework. It provides data access security along with the ability to govern, access, and manage security from the baseline. Security administrators and data stewards can tailor user views based on responsibilities, operating groups, and regulatory needs using the IICS security configuration. This feature is specifically beneficial for organizations that are subject to industry or government regulatory obligations by helping them operate in sync with regulatory guidelines and ensuring compliance.

The Challenge

Today's digital era is so dynamic that organizations need to continuously improve their processes to match the competition. A very essential factor to achieving this is having an efficient method for managing, understanding, and reporting risks. Organizations are dependent on their MDM programs to provide a reliable single version of master data throughout the organization, be able to be agile when adjustments are needed, and be able ot serve it and use it across the different organization departments. Although very few MDM programs are built to protect this critical business asset.

This is significant, especially since data-driven disruptions with intelligence have become a key component of defining business strategies. While many organizations use MDM to achieve business-driven objectives, they must ensure security.

Overview

Informatica's Master Data Management Cloud solution is customizable and extensible to satisfy a wide range of security needs, such as IAM (identity and access management), data security, and monitoring.

We enable industries to define and enforce data authority policy directly in the data model and map that to a role-based authorization system. This ensures that the method of interaction with master data abides by the organization’s privacy/compliance/data governance policies.
For data domains, we offer role-based security and access control for all data assets across all interfaces for all data domains.

IAM (Identity and Access Management)

Informatica MDM Cloud — Reference 360 provides state-of-the-art security access controls to prevent any unauthorized access to the data, functionality, and resources. This access control is based on roles and clearly defines the level of privileged access, entitlements, and expertise a user or group can have. It also aligns these privileges with the internal security and access control policies of the organization that manages the master data.

Administrators can define the authorization policies by defining the level of privileges to user roles and then assigning users to these roles. These privileges define what level of access a user can have over a certain resource, feature, or functionality. It ensures that the right people have the right level of access and the resource if available at the right time.

Here is a logical illustration of Role-Based Access Control (RBAC).

Data Security

Informatica MDM Cloud — Reference 360 puts the security of customer data before anything. Hence, we offer many efficient features. A security key is kept in a “secret store” and data is encrypted with a digital security certificate to ensure the integrity and security of data while at rest or in transit. The secret store manages leasing, key revocation, key rolling, and auditing while securing access to confidential data, including but not limited to tokens, passwords, certificates, and API keys. The secret store ensures that only authorized entities can access the data.

Customer Data Separation

Each customer data is isolated and has its separate database instance and search index. All third-party products used for the database are thoroughly verified to ensure their security, privacy, and compliance. The database instances, as well as the search indexes, are encrypted and the encryption key is stored in the secret store to prevent any unauthorized access.

Data Encryption: In Transit and at Rest

Data, both at rest and in transit, uses TLS/SSL protocols and authentication (SCRAM) by default, which encrypts all connections. All traffic between the client and the database is encrypted. By default, Informatica MDM — Reference 360 cloud uses the TLS 1.1 protocol. The Informatica Cloud® security team regularly checks and updates transport standards to ensure that any outdated ciphers are deprecated.

Conclusion

Informatica MDM Cloud — Reference 360 is fully customizable to satisfy a wide range of security requirements, such as privacy, compliance, and data governance policies. Informatica uses verified and proven techniques and procedures for developing our applications considering all data security aspects.

Overview: Informatica Cloud Customer 360 | CC360 Introduction

gal.garniek@gembo.co — Wed, 06 Apr 2022 08:03:50 GMT

Be ready to compete with customer service

The customer experience domain is highly competitive. Having a good customer experience builds you a loyal customer base and vice-versa. Every brand that aims to stand out from its competitors keeps its customer experience as the utmost priority. They intend to grasp a meaningful understanding of the customer data to provide them with the best user experience.

You will need a complete 360 degrees view of your customers and their changing needs in order to present them with the best user experience and engagement.

To build a strong customer relationship, you need to understand who your customer is, what products do they own, who is in their circle of influence, what the next best step should be, and so on.

The biggest challenge organizations face during the process is sorting and managing inaccurate, inconsistent, duplicated, and fragmented customer data. Even with enterprise resource planning (ERP), sales force automation (SFA), and customer relationship management (CRM) programs, data quality can deteriorate quickly and become questionable. Since the customer information is managed across multiple departments, business lines, geographic regions, and isolated systems, it is extremely difficult to achieve a single integrated 360 degrees customer view.

Organizations of all sizes are developing an actionable 360-degree view of client data so marketing, sales, service, and other customer-facing departments can:

Achieve better customer engagement by delivering relevant, personalized, and targeted communications.
Get better insights into customers and opportunities to speed up merger and acquisition benefits.
Gain customer trust by prioritizing and complying with customers' privacy concerns
Achieve regulatory compliance with internal data protection policies and requirements

Have a better understanding of customers' relationships and networks of people, places, and things The body content of your post goes here. To edit this text, click on it and delete this default text and start typing your own or paste your own from a different source.

Build a trusted customer profile

To create an integrated, complete 360-degree view to answer your questions, you will need a strong and trusted customer profile. This profile will allow all teams to access the same customer view, which will help your organization become more customer-centric.

Informatica Cloud Customer 360 solves exactly this problem for you by providing a trusted customer profile that provides you a complete, reliable, and consistent single view of your customers. It brings together the customers and their associated data and centralizes its management and publishing.

Informatica Cloud Customer 360 is an intelligent, integrated, state-of-the-art, cloud-native application that fixes and manages your customer data. This intelligent solution is powered by Informatica’s proven Intelligent Cloud ServicesSM (IICS) and underpinned by the Informatica Intelligent Data Platform ™. It offers an easy UI, customizable dashboard, and built-in AI and machine learning from CLAIRE® that makes onboarding, stewarding, and sharing customer data easier for business users and data stewards.

The single, integrated, complete, and modern 360-degree view of customer data and a centralized application provided by Cloud Customer 360 have added advantages for your employees.

Key Features

A Complete Solution
The Informatica Cloud Customer 360 is an all-in-one approach that has an added advantage to the entire Informatica data management solution range. With best-in-class data ingestion, quality, matching, enrichment, business process orchestration, and built-in connectors, you can start correcting, managing, and stewarding client data faster than ever before.

State-of-the-art User Experience
Informatica Cloud Customer 360 offers a business-friendly, reflexive, and simple user experience. Business users and analysts have stewardship, record level lineage, and history with out-of-the-box user interfaces. A component-based framework allows for easier configuration and dashboard construction, and a drag-and-drop designer tool allows for industry-specific configuration.

Flexible and Modular
CC360 is modular, API-driven, and comes with shared microservices on the best-in-class, scalable IPaaS architecture. It offers simple, consumption-based pricing and packaging that simplifies the MDM implementation to a single step.

Intelligence, Automation, and Orchestration
Informatica Cloud Application Integration provides a single integrated business process orchestration layer across master data management, reference data management, data quality, and data governance. Additional contact data verification and validation capabilities are provided via AI-powered data matching, smart fields, and pre-integrated Data as a Service.

Embedded Data Integration
Informatica Cloud Customer 360 allows for elastic, serverless, streaming, and batch integration, which is simple to set up with drag-and-drop workflows and data flows for sources and targets. It consists of Informatica’s optimum iPaaS capabilities (IICS). IICS enables 18 trillion transactions per month and is cloud-native, multi-cloud, and scalable.

Highly Secure
With the industry's largest number of security certifications, including ISO, SOC2, SOC3, HIPAA, and more, it was built keeping security as a core design element.

Flexible, Fast, and Agile
Informatica Cloud Customer 360 is offered both on-premises or through Informatica Intelligent Cloud Hosted Services. CC360 provides you benefits of both Informatica's Cloud Customer 360 capabilities and outsourcing IT management tasks.

Innovative Investment

We offer a simplified MDM implementation, built-in intelligence from the data model upwards. Your investment in Informatica Cloud Customer 360 is supported by rigorous, automated testing, thanks to the investments in continuous innovation that enable monthly releases with versioned metadata for security upgrades.

Key Benefits

Informatica's Cloud Customer 360 allows you to:

Grow your loyal customer base by providing better engagement
Efficient onboarding of customers in a centralized location
Increase self-service with network and hierarchy views given through a modern user interface for searching and exploring customer interactions.
Gain better productivity by having the trusted customer data accessible when required
Speed up the deployment, with simple, pay-as-you-go pricing and pay only for what you use
Get access to Informatica’s award-winning customer support, unparalleled services, and partnerships, and externally validated certifications, assessments, and security standards for the optimum security

About PartnerBO

As Informatica launches its line of the best customer engagement platform with Informatica's Cloud Customer 360, PartnerBO works to understand your particular needs and helps you realize your vision through people, process, and technology. Partner BO understands that adopting new technologies can be challenging and helps to make it as smooth as possible and help you to take full benefit of your enterprise data management solutions .

Informatica Enterprise Data Catalog Advanced Scanners

gal.garniek@gembo.co — Thu, 17 Feb 2022 04:43:06 GMT

The enterprise data landscape is very complex and consists of hundreds of data sources like databases, warehouses, legacy mainframe systems, enterprise, and SaaS applications, Hadoop and Spark clusters, and data lakes having data at a petabyte scale. These data sources are spread across a multi-cloud environment, and in most cases, it is very difficult to fetch and understand the data.

Enterprises headed on their journey of digital transformation often find it extremely difficult to extract, understand, and track data dependencies across data sources and scripting languages. Additionally, regulations, enterprise data governance, and other data-driven digital initiatives require extensive audit trails to ensure that no risk is left unaddressed. This necessitates that you can track data and its transformations at a granular level across the data lifecycle, from source to target, and across data pipelines.

Informatica Enterprise Data Catalog is powered by the metadata-driven intelligence in the Informatica® CLAIRE® AI engine and offers the most advanced scanners that extract deep metadata and lineage from a variety of multi-cloud data sources. This facilitates the analysis of data dependencies and data issues and provides you with a better understanding of the impact of proposed changes.

Key Features

Faster Data Cataloging Powered by Deep Metadata Extraction and End-to-End Data Lineage
Informatica Enterprise Data Catalog Advanced Scanners empowers you to extract metadata and derive detailed data lineage from multiple data sources (even the most complex ones) and across multi-cloud environments. Enterprise Data Catalog Advanced Scanners extract detailed data lineage and address the most complicated data lineage requirements.

Enterprise Data Catalog Advanced Scanners provides you with a more elaborate understanding of the logic and internal data flow by allowing you to inspect every script, procedure, or process. It provides you with a comprehensive view of the data lineage and all its sources so that you better understand each data transformation occurring within an enterprise. You can speed up your data-driven digital transformation initiatives with full transparency, control, auditability, and confidence, with this level of deep metadata understanding.

Databases and Scripting Languages
Enterprise Data Catalog Advanced Scanners allow you to extract detailed data lineage from a range of SQL dialects at scale. Extracted data lineage offers comprehensive visibility into procedure calls with parameter tracking, dynamic SQL generation from values based on parameters, database queries, and more. Views, procedures, functions, triggers, macros, external tables, and other objects are supported. Analysis can be performed both online and offline.

ETL Tools
You can use Enterprise Data Catalog Advanced Scanners to extract metadata and lineage information from a variety of multi-vendor ETL tools. The granular-level details let you achieve end-to-end data lineage, including column-level lineage and transformation logic, from and to systems connected by ETL tools. It gives you a clear view of each component of an ETL operation and provides quick access to every expression being applied to the data.

Legacy and Mainframe Systems
Only a fairly skilled developer can understand the applied data transformations in the case of custom applications built on scripts and codes, as well as legacy and mainframe COBOL systems. This problem is completely resolved by Enterprise Data Catalog Advanced Scanners. They provide you with the most comprehensive, end-to-end data lineage views for your legacy and mainframe assets. You can extract transformation logic and provide detailed insights into the lineage, allowing better management, transparency, and governance by offering the application to more users.

Complex Enterprise Applications
Enterprise Data Catalog Advanced Scanners allow you to extract metadata, lineage, and relationships for more convenient data access for all users. It allows you to track even the most complex data lines end-to-end between SAP and third-party corporate apps, databases, and business intelligence tools. You can get a comprehensive view of how data is changed across SAP technologies and linked systems.

As Informatica provides you with the foresight to become more agile, realize new growth opportunities, or create new inventions, PartnerBO assists you throughout the path. As a data management and analytics System Integration & Solution company, we are transforming the way companies manage and leverage data. Whether you are a new cloud deployment or need to migrate from on-premise or other integration, PartnerBO, through strong partnership, innovative, purpose-built solutions, helps you along your data integration journey.

Intelligent Data Cataloging for Cloud Data Warehouses, Data Lakes, and Lakehouses

gal.garniek@gembo.co — Thu, 27 Jan 2022 05:23:58 GMT

Considering the level of efficiency and convenience the cloud brings with it, it is no surprise that organizations today are rapidly shifting their data and analytics to the cloud. Although by moving applications to the cloud, companies can scale on capabilities and reduce or eliminate costs of all aspects of data analytics, it is also very important for data warehousing and data lakes.

Enterprise data analytics have relied on traditional enterprise data warehouses and reporting systems for years now and it’s high time that companies are making efforts to make a shift to the cloud to obtain dramatic performance gains and competitive advantage.

Simultaneously, enterprises are implementing cloud data lakes to complement their cloud data warehouses and are also developing cloud lake houses, which bring together the best out of data warehouses and data lakes to deliver analytical capabilities for everything from business intelligence dashboards to advanced AI and machine learning initiatives.

Like every other aspect of technological advancements, this shift to the cloud also brings with it certain challenges that must be addressed. Although shifting to a cloud data warehouse, data lake or lake houses may seem pretty simple, a systematic and efficient strategic plan is required to pave your path of achieving maximum returns on your investments. Irrespective of whether you are shifting from an enterprise warehouse, data lake, or lakehouse to a cloud or just improving and updating your data and workloads in the cloud over time, you need to have a clear idea of your current data landscape in either of the cases. You need to ensure that you have all the tools needed to manage your data in the cloud in place and you abide by the recommended best practices.

The Informatica® Intelligent Cloud Lakehouse Data Management Solution for Cloud Analytics addresses all of these challenges in the most efficient way. It is based on industry-leading data integration, quality and governance, and metadata management technologies. With machine learning-based data asset identification and end-to-end visibility, Informatica Enterprise Data Catalog delivers the metadata management foundation you need to assess your current data landscape. Informatica Intelligent Cloud ServicesSM (IICS) offers the best-in-class enterprise iPaaS services for cloud data integration , cloud mass ingestion, and cloud data quality .

Having machine learning capabilities in complete control of complete metadata management, the Informatica Enterprise Data Catalog delivers a standard enterprise metadata foundation for intelligent, automated, end-to-end visibility and lineage throughout your environment. The solution allows you to connect on-premises data repositories to your current cloud ecosystem so that your users are abstracted from the complexity of the process and you get the most out of your data.

Features and Capabilities:

Broad Metadata Connectivity

Informatica’s Intelligent Cloud Lakehouse Data Management Solution connects with all the industry-leading cloud ecosystems and data warehouses, including but not limited to, Amazon Redshift, Amazon S3, Microsoft Azure Synapse Analytics, Google BigQuery, Snowflake, and Databricks. Additionally, it also offers metadata connectivity access across hundreds of cloud services, on-premises systems, corporate and middleware applications, data repositories, and analytical business intelligence tools.

Data Discovery Powered by Machine Learning

CLAIRE®, Informatica's metadata-driven artificial intelligence engine, applies AI and machine learning algorithms to technical, business, operational, and usage data, to automate the understanding and parsing of complex files and metadata, facilitating the discovery of data across a complex, multi-cloud environment.

End-to-End Data Lineage Automation

Lineage provides you a quick view of the complete data flow process including its origination, movement, and transformation. It allows you to know the usage and dependency of the data based on its movement from source to destination. The solution provides you with an elaborate impact analysis of your data assets, based on which you can understand the impact of migration and perform a cost-benefit analysis of moving certain data assets and workloads to the cloud.

Collaboration and Social Assistance

Shifting your enterprise data warehouse, data lake, or lake house to the cloud involves multiple stakeholders and users. Data owners and subject matter experts may certify data assets and make migration decisions using Informatica Enterprise Data Catalog's collaboration and social curation capabilities. It also allows consumers to rank and review data assets, as well as add custom attributes and annotations to simplify the identification of reliable data before and after migration.

Integrated Cloud Data Management Services

Informatica Enterprise Data Catalog integrates with the IICS data management services interface. For multi-cloud environments, IICS Cloud Data Integration delivers high-performance ETL, ELT, data ingestion, synchronization, and replication. IICS Cloud Data Quality allows you to swiftly resolve and monitor data quality concerns. Informatica Enterprise Data Catalog can be used from within IICS for:

Locating and selecting data
Viewing data sources and mappings
Viewing data quality rules and scorecards
Receiving comprehensive visibility

Preconfigured Mappings

Preconfigured mappings and user-friendly interfaces minimize the time taken for migrating data to the cloud. Informatica Enterprise Data Catalog integrates with IICS to facilitate the location and migration of data to your cloud warehouse. With IICS Cloud Data Integration's visual designer, you can build simple to complicated data loads in just a few clicks.

Key Benefits:

Optimum and Uninterrupted Cloud Data Warehouse, Data Lake, and Lakehouse Value

Get a better assessment of your data landscape for achieving the optimum value from your cloud data warehouse, data lake, or lake house. Additionally, you get a better understanding of relationships and dependencies and easily find data for analytics. Informatica Enterprise Data Catalog ensures a smooth and uninterrupted migration to the cloud. End-to-end lineage views confirm the appropriate data mapping and metadata-driven automated data discovery and curation facilitates scalable data governance and allows for cloud distribution of trusted data.

Minimize your cloud migration and modernization time

Speed up your development using a visual mapping designer that connects diverse endpoints with pre-built transformations, to build required integration loads.

Leverage Industry-Leading Metadata Management for a Better Visibility of Your Organization’s Assets

The Informatica solution uses industry-leading metadata management capabilities, providing you access to hundreds of connectors for cloud-based and on-premises systems. It allows smooth data migration by providing better visibility of all of your organization’s assets. Additionally, it captures and stores critical metadata to maintain the same relationships during and after data migration and modernization in the cloud.

Simplified Discovery of Relevant and Trusted Data in the Cloud

Data analysts and scientists must have a clear understanding of the location of data to choose appropriate data assets as per their needs. Informatica Enterprise Data Catalog enables users to easily and efficiently locate their data, without any additional help.

As Informatica expands its Cloud product portfolio by introducing state-of-the-art cloud data management solutions , aiDataWorks assists customers in the life cycle required to use it. As a data management and analytics System Integration & Solution company, we are transforming the way companies manage and leverage data. Whether you are a new cloud deployment or need to migrate from on-premise or other integration, aiDataWorks, through strong partnership, innovative, purpose-built solutions, helps you along your data integration journey.

Informatica API Manager

gal.garniek@gembo.co — Mon, 17 Jan 2022 05:34:43 GMT

As we are stepping into a world of data-driven digital transformation that creates new use cases, we cannot ignore its requirement of different integration patterns. API integration is becoming increasingly popular for integrating applications. Informatica's API Manager allows customers to develop, publish, manage, monitor, deprecate, and consume for business coordination across numerous clouds and on-premises systems, both inside and beyond their firewalls. Additionally, Informatica Intelligent Cloud ServicesSM (IICS) API Manager service facilitates the management of the entire API life cycle.

Informatica Makes Intelligent API Building Simpler Than Ever

• Making APIs Accessible:

Informatica ensures that the accessibility of APIs is extended from developers to the members of your data and application teams. It provides a simple and accessible approach to building data, application, and orchestration APIs and minimizes organizations' dependability on the availability of consultants or IT teams.

• Advanced-Data Access:

Informatica provides unmatchable data access and manipulation capability to its customers. With an API call, you can orchestrate, ingest, synchronize, replicate, transform, lift and shift any data from anywhere, irrespective of the speed and latency, and that too in real-time. Your APIs' access is controlled and monitored so that your data building process is secure and well-managed.

• AI-Powered Metadata Discovery:

Informatica's API Manager comes with the built-in AI/machine learning-powered CLAIRE® engine so that you can automatically discover and describe your data for usage in different integration scenarios. Having a description for data is critical for your tools to work efficiently, whether you are working with large bulk datasets, making API calls, or doing ingestion of large data. Metadata discovery powered by CLAIRE provides your teams with the intelligence they need to understand and capture the value of your data.

Features and Capabilities

• API Development and Design

To develop your APIs, select an API type, plan capabilities, create methods, and implement a common response format to develop your APIs. Your clients can use the composite APIs that you provide. REST, SOAP, Java, SQL, and Stored Procedures, as well as message queuing and pub/subsystems and a range of other on-premises and cloud applications and services, can all be used. For externalized scheduling and execution, a Cloud Data Integration (CDI) task flow can be called, and you can supply input parameters to the API for the tasks it orchestrates. You can also use APIs to trigger sub-task flows.

• API Description

The APIs defined by you are self-descriptive as per industry standards and no interface creation is required. Their generation is automated and ready for use by developers.

• API Registry

Registration of published APIs into the API Registry is automated. Hence, they can be managed, discovered, and accessed easily. You can expose these APIs and start monitoring usage with a simple click.

• API Gateway

API Gateway facilitates the deployment and activation of APIs, both within the organization and with partners. It also applies security and access control policies and supports REST (XML and JSON) and SOAP APIs.

• API Manager

API Manager facilitates administrators and developers in exposing service APIs, managing API life cycle, API description, API policies, API usage analytics, logging, and security exception monitoring. It also helps in the application and specification of organization-wide rate-limiting and IP-filtering policies. API URL customization, assignment of IP filtering to APIs, and reducing response times are some other functionalities of the API Manager.

• API Portal

The API portal is a part of the Informatica Intelligent Cloud Services and integrated with the Informatica API Gateway and API Manager. The portal enables developers to take a quick trial of an API before actually using it. The swagger viewer simplifies the client-side consumption and back-end implementation, and the Analytics dashboard displays the API consumer's usage pattern and most-used APIs.

• API Monitoring

API Monitoring offers complete security and logging of exceptions so that administrators can identify and mitigate unauthorized activities and exceptions immediately.

• Analytics

API Manager comes with a graphic analysis of usage statistics, analytics, and trend reporting of integration APIs that is automated and customizable.

• API Microgateway Service

To install, manage, and govern the use of Application Integration processes, you can use the Secure Agent service.

• API Rate Limit

You can customize the rate limit policies of your API to set the number of APIs that a consumer can invoke during a specified time.

• Localization Support

Customers are also offered the Japanese user interface and documentation for the API and Cloud Application Integration services.

• OAuth 2.0 support

OAuth 2.0 is critical for security compliance. This standard, when combined with Client ID and Secrets, extends the basic and JSON-Web Token (JWT)-based authentication options available today.

Key Benefits

• CLAIRE-Powered Privacy Data Compliance

API administrators or developers can deploy privacy policies for personally identifiable information, and audit, record, and prohibit PII leakage. They may choose which types of information to protect and whether each piece of information should be protected in requests, responses, or both.

• Rapid Implementation of Rest or SOAP APIs Using Zero Coding

Informatica’s integration design environment allows developers to build an application, data service, and data set APIs without requiring any coding. Informatica’s sophisticated application integration services facilitate the orchestration of API-based systems and API exposure. You can add rich data integration capabilities to your existing integrations. Using the built-in API gateway, you can secure and monitor your REST and SOAP application and data APIs once you're ready for exposure.

• Your APIs, Always at Your Fingertips

Since APIs are available in a single dashboard with all related information, application developers can start and develop their applications faster than ever. Developers can request API access, collaborate, and get a quick trial of APIs before actually using them.

• Build Robust, Scalable, and Secure APIs

You can test and debug your APIs and integrations with many clients and specific conditions to ensure that they are highly scalable, secure, and usable. Basic HTTP, JSON Web Token (JWT) authentication, as well as an open standard (RFC 7519), are supported, which allows for a compact and self-contained manner of secure data transmission. Informatica's built-in monitors can also be used to examine each step of the execution and data processing process, supporting the construction of a strong foundation.

• Entire API Lifecycle Management Made Easier

API Manager enables API administrators and developers to easily control and monitor their APIs, allowing them to provide service APIs and manage their life cycle, including activation, deactivation, and decommissioning.

• Prevent Rogue Access to Application and Data APIs

Policies for authorization, rate limitation, and IP whitelisting and blacklisting are used to regulate and secure API access. Thanks to the comprehensive security-exception log, an API administrator can quickly analyze and mitigate any unauthorized access attempts or exceptions.

• Real-Time Analytics for a Better Visibility

The API Manager Analytics Dashboard provides a bird's-eye view of API usage analytics, including trends and usage over time, the most frequently used APIs, and the most frequent users. This information allows API administrators to take remedial steps to meet a business need.

• Automated API Discovery and Grouping

API Manager displays a list of all available REST and SOAP web services that your company has created. API metadata descriptions and WSDL or Swagger (OpenAPI) interface generations are automated. With the API application-grouping capability, you can better control the use of JWT tokens and link them to numerous API endpoints. API consumers will need to deal with fewer tokens, and API producers will be able to manage or remove a consumer's access faster.

• Integrated DevOps Environment for a Higher Productivity

API Manager is a component of Informatica Intelligent Cloud Services , which includes cloud data integration, cloud application, and process integration, API administration, master data management , and much more. It provides developers, business analysts, and API administrators with a seamless user experience and helps in significantly reducing the learning curve.

As Informatica expands its Cloud product portfolio by introducing state-of-the-art API management solutions, PartnerBO supports your growth through System & Data integration, focusing on increasing your strength from within your organization. We help you empower yourself with new capabilities such as data quality, master data management, cloud data integration , big data architecture, governance implementation throughout the organization, data security, and data archiving.

Informatica Intelligent Cloud Services Overview | aiDataWorks

gal.garniek@gembo.co — Wed, 05 Jan 2022 12:40:11 GMT

While considering a cloud strategy, architects need to create an approach where on-premise, cloud, and data services should coexist.

Some of the following aspects need to be considered while considering the integration strategy

Data consumption: How applications consume data whether locally and without latency, on-demand and interactively from an external data provider or service

Data propagation: How data propagates—for example, via data set synchronization, replication, store and forward or publish/subscribe, messaging, streaming or event-based propagation via service-oriented API requests

An application integration strategy needs to also consider how business and data service APIs are provided and consumed

Informatica Intelligent Cloud Services (IICS) offers the means with its integration platform as a service (iPaaS) to integrate and offer data and application services deployed on-premises and in the cloud.

Informatica Intelligent Cloud Services

Integration Cloud, a component of Informatica Intelligent Cloud Services (IICS), is offered as an iPaaS that provides near-universal access to application data regardless of its location, format, or origin and integrates applications and application processes regardless of where they are deployed. Integration Cloud provides the means to integrate and deliver:

The right data, of the highest quality, at the right time
Data to the right place, whether on-premises or in the cloud
Data to the right consumer, whether it is a business user or an application
Data in the right way, ensuring it is secure and protected

Integration Cloud lets you address your application and data integration needs using a variety of integration patterns:

API creation and consumption
Service orchestration
Process automation and integration
Message-based integration (publish/subscribe)
Business-to-business integration
Data synchronization and replication
Managed file transfer
Bulk and batch data integration and transformations of data sets
Handling of structured and unstructured data

Integration Cloud—A Differentiated Integration iPaaS

Integration Cloud provides the means for your cloud and on-premises applications to coexist. This iPaaS enables access to data wherever it resides— ‘in the cloud and on-premises—delivering trustworthy data while meeting your company’s security and compliance standards.

Informatica Cloud Application Integration (CAI)

Informatica’s event-driven and service-oriented application integration capabilities encompass event processing, service orchestration, and process management. These are built on Informatica’s business process management technology. Its use within Integration Cloud, embedded within the Cloud Secure Agent, makes it possible to create and consume APIs, orchestrate data services and business services, integrate processes, and offer data and applications services inside and outside an organization.

Components

Process Server

Process Server is a run-time and process management engine that scales to meet the needs of the cloud and enterprises of any size. Execution is carried out by the Process Server. Process Server provides several sophisticated features to ensure business continuity and can be deployed as a cluster in fail over mode to ensure high availability.

Process Console

Process Console provides a central location from which to manage and configure Process Server instances and their deployed resources whether in the cloud or embedded within Secure Agent. Process Console provides a means to schedule processes and deploys new or updated processes.

Process Designer

Process Designer is intended to be used by a technical power user—an automation designer’—who may or may not be a developer, but knows the business processes and services used to accomplish them. This designer is designed to be easy to use yet powerful and expressive to create any business process.

Process Developer

Its optimized and easy-to-use features make it easy for developers to create business process applications quickly. And because these applications are based on industry standards, enterprises’ business logic is freed from proprietary orchestration engines.

Secure Agent

Cloud Secure Agent is a key component of Informatica’s secure solution. Secure Agent can be installed on-premises or in the cloud depending on connectivity needs.

Informatica Intelligent Cloud Services (IICS) supports the next generation of integration platform as a service (iPaaS) integration patterns. Cloud Application Integration (CAI), offered by IICS, provides a unified development environment and a breadth of functionality that guarantees superior ease of use, including a forms-based Service Connector tool that integrates any API with ease, advanced orchestration design capabilities, and ease of deployment.

Cloud Data Integration Elastic

gal.garniek@gembo.co — Wed, 01 Dec 2021 05:34:38 GMT

Organizations need a better, faster, more reliable way to integrate data from various sources and deliver data and analytics on time to lines of business. Manual, complex, and unorganized methods of data integration can hold firms back from leveraging data in real-time and staying ahead of the competition.

The Cloud Data Integration Elastic service enables your IT organization to process data integration tasks without managing servers or needing any additional big data expertise.

Ease of deployment

Deploying Cloud Data Integration Elastic is a five-step process: install the secure agent; create the IICS cluster and the compute engines; create the mapping services and tasks; run the tasks, and monitor the jobs and clusters.

Data integration at scale

Deploy data integration solutions using Cloud Data Integration Elastic to process large volumes of big data in the cloud. An ephemeral Kubernetes cluster provides the serverless Spark engine to process the integration mapping tasks.

Built for scalability

To help you scale efficiently, the Cloud Data Integration Elastic secure agent starts the cluster and assigns mapping jobs for processing. It dynamically scales your cluster up or down based on demand and shuts down the cluster when jobs are done to optimize resources

Key Features

Advanced Pushdown Optimization

Informatica Advanced Pushdown Optimization offers all the benefits of ELT, but it also keeps your data flow definitions at a logical/abstract level. Further, it allows you to choose a runtime option that best suits the workload.

A Rich Set of Connectors for All Major Data Sources

Informatica Cloud Data Integration provides out-of-the-box connectivity to hundreds of cloud and on-premises systems, enterprise and middleware applications, data stores (e.g., databases, warehouses, big data stores), and analytics/BI tools.

Advanced-Data Transformation Capabilities

Process data transformations in real-time or batch, using a variety of transformation types like aggregation, cleansing, masking, filtering, parsing, ranking, and more.

Spark-Based Complex Data Integration

The Informatica Cloud Data Integration Elastic service allows your IT team to use elastic clusters to process your data transformations.

Codeless Integration

Create simple-to-sophisticated data integration projects with a visual mapping designer that connects a variety of endpoints across cloud and on-premises with pre-built transformations to speed up development.

Data Integration With No Servers to Manage

Cloud Data Integration in Advanced Serverless mode provides a fully managed environment with no cloud administration, no software, and no servers or clusters to manage. Full and automated infrastructure management and provisioning include auto-tuning and auto-scaling.

Change Data Capture for Consistent Analytics

With the prebuilt task wizards and Change Data Capture (CDC) tool, you can automatically pull only the updated or incremental data from source systems to the targets on an ongoing basis.

As Informatica expands its Cloud product portfolio, PartnerBO assists customers in the life cycle required to use it. As a cloud data integration elastic consulting company , we help in deploying data integration solutions using cloud data integration elastic. Whether you are a new cloud deployment or need to migrate from on-premise or other integration, with the help of PartnerBO, you can process your data integration tasks, scale, and easily deploy them.

Cloud Data Governance and Catalog Solutions | aiDataWorks

gal.garniek@gembo.co — Wed, 17 Nov 2021 09:29:55 GMT

Informatica Cloud Data Governance and Catalog is a comprehensive solution for managing data and its metadata in a SaaS solution, providing the data catalog and data governance across all corporate data, regardless of where the data resides. It utilizes the AI capabilities of Informatica CLAIRE and is a feature-rich solution, fully integrated into the Informatica Intelligent Data Management Cloud .

With the evolution of the past years, the need for managing data has changed. Relational SQL databases or, even earlier, hierarchical databases, have shifted away from the center of attention. Cloud databases of many kinds are common today, with large CSPs (Cloud Service Providers) such as AWS (Amazon Web Services) or Microsoft Azure providing not just one, but sometimes more than 10 kinds of databases. Big data approaches and analytics solutions have become the focus of attention.

The broadened and the new use cases around data also require new categories of solutions: Data Catalogs, Metadata Management, and Data Governance. These three terms are closely related, increasingly resulting in integrated solutions.

Metadata Management refers to solutions that enable organizations to manage data across a range of systems, maintaining metadata of the data. This also includes capabilities such as data lineage, i.e., analyzing and documenting the flow of data between various systems.

Data Catalogs are where this metadata is stored and managed. A data catalog is a central repository that provides a view of the enterprise data across all managed data stores. It enables the use of such data and delivers the capabilities for "data democratization".

Data Governance builds on Metadata Management and enables control of the use and flow of data.

Product Description

Cloud Data Governance and Catalog is part of the Informatica Intelligent Data Management Cloud, thus tightly integrating with the broad range of other services therein. Pricing is, as with the other services, consumption-based.

Informatica Cloud Data Governance and Catalog builds on a graph representation of the data. All metadata is held in a "connected knowledge graph", i.e., a structure that links data and allows the users to navigate through the data, understanding the relationship of different metadata and data. To populate the graph, Informatica builds on the proven capabilities for metadata extraction, data lineage, data profiling, data classification and linkage to the business glossary, and data quality management.

The solution is able to extract and qualify data from a very broad range of sources, ranging from legacy on-premise solutions to modern cloud storage. Thus, it can build a comprehensive representation of data and its lineage.

Users have a range of options for either navigating through the data catalog or searching for data. Search, amongst other options, includes capabilities such as natural language-like search, query generators, previews of data assets, and delivers perspectives for both technical and business users. Informatica Cloud Data Governance and Catalog also creates and displays key metrics on data that help users to better understand the value and usefulness of data, e.g., by ratings for the data quality.

Informatica Cloud Data Governance and Catalog is an interesting solution for organizations moving towards a centralized, efficient, and comprehensive approach to Data Management and Data Governance, that helps in making data available for analytics, AI, and other business use cases.

With the help of Informatica’s application modernization platform at aiDataWorks, we support your growth through System & Data integration, focusing on increasing your strength from inside your organization. We help you empower yourself with new capabilities such as data quality, data management, cloud data integration , big data architecture, hospital-wide data quality governance, data security, and data archiving.

Acceleration with Data Lake and Data Warehouse

gal.garniek@gembo.co — Wed, 03 Nov 2021 10:39:09 GMT

Organizations today have been more committed to data-driven as they embark on digital transformations to accelerate time to value, reduce costs, improve efficiency, and deliver trusted insights for business decision-making. To help achieve these goals, companies are modernizing their analytics initiatives by either building new cloud data warehouses and data lakes or by consolidating on-premises data warehouses in the cloud. Companies are also adopting modern cloud technologies that merge data warehouses and data lakes into a single data platform sometimes referred to as a “lakehouse.”

To get started, companies often stand up a cloud data warehouse for a departmental project to pilot the solution and evaluate their cloud options. Some organizations, as they start their journey to the cloud, opt for manual processes such as hand-coding, but this approach quickly overwhelms the IT team, becoming expensive to maintain and difficult to scale.

Informatica® helps organizations avoid these missteps and instead accelerate their cloud data warehouse and data lake initiatives with the industry’s leading independent, modern cloud data management solution —Informatica Intelligent Cloud ServicesSM (IICS). IICS is a modern, microservices-based, metadata-driven, AI-powered, and purpose-built cloud-native data management solution for cloud data warehouses and data lakes, regardless of the cloud platform or technology provider (including Amazon, Microsoft, Snowflake, Databricks, and Google).

Key Capabilities

Cloud Data Management

IICS provides comprehensive, AI-powered, integrated cloud-native capabilities for Cloud Data Integration , Cloud Data Quality, and Metadata Management, all built on an intelligent platform.

Data Integration

IICS Cloud Data Integration provides pre-built cloud-native connectivity to virtually any type of enterprise data, whether multi-cloud or on-premises. Cloud Data Integration is designed for scalability and performance and offers critical optimization capabilities, including push-down optimization so you can process the data efficiently

Data Quality

Informatica Cloud Data Quality provides cloud-native capabilities so you can take a holistic approach to quickly profile your data, enabling you to identify, fix, and monitor data quality problems before moving the data into your cloud data warehouse or data lake. Cloud Data Quality helps you transform the data so you can cleanse, standardize, and enrich all data.

Metadata Management

IICS provides a metadata-driven approach for building data pipelines using a visual development environment, with the ability to run on all the major cloud platforms (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) and the latest processing engines (Spark) without requiring you to re-code your existing pipelines.

Key Benefits

Boost Productivity and Lower Costs

The comprehensive and integrated Informatica cloud data management solution can increase productivity and de-risk projects while delivering intelligence, automation, and efficiency

Increase Flexibility and Scalability

Informatica is the only independent enterprise cloud data management vendor that provides the industry’s leading best-of-breed capabilities across data integration , data quality , data governance, and metadata management.

Improve Agility

With IICS you gain the rapid deployment of jobs, minimal install and setup, automatic upgrades, fast data onboarding, and an integrated full technology stack for agile development and minimized downtime. Get started quickly without advanced training by leveraging out-of-the-box connectivity with visibility to hundreds of applications, codeless integration, and at-scale mass ingestion for high-volume workloads.

Modernizing Application Integration With Informatica

gal.garniek@gembo.co — Tue, 21 Sep 2021 09:43:06 GMT

Digital transformation initiatives may stall or fail if enterprises operate their business-critical applications and processes in silos. Enterprises need to integrate all their applications to get a unified view across business operations, processes, and systems to meet the demands of the ever-changing market and stay competitive. Modernization is intended to help enterprises to drive agility to create a competitive advantage by assembling and connecting applications with unprecedented speed.

Informatica Delivers Key Capabilities for Application Modernization

Single Intelligent Platform for Application Integration and Business Process Automation

The Informatica® Application Modernization platform is built for multi-cloud ecosystems and on-premises environments. As a microservices-based architecture, it enables enterprise-scale integration and support for new integration patterns such as master data management, data quality, data lake, and many more. Enterprises can now connect hundreds of applications and services from cloud and on-premises environments via self-service, discovery-centric marketplaces, and business interoperability portals—all within a single platform unifying API creation and management, data set processing, event processing, and more. It supports any integration pattern, user type, or endpoint to automate business processes, expedite transactions, and enable real-time analytics.

Codeless Intelligent Application, Process and Data Integration

With Informatica’s modular design environment, enterprises can implement and manage intelligent application integrations, data integrations , automation of business processes, APIs, and guides without code. Now you can connect and orchestrate real-time data or services from cloud applications, such as Salesforce, Workday, and many more, with on-premises data sources like Oracle or SAP, or API-based REST (XML or JSON), and SOAP services. Integration architects to data stewards to non-technical business users can easily build, assemble, monitor, and maintain integrations and APIs.

Intelligent Automation of Business and Data APIs

Informatica’s Application Modernization platform enables the intelligent automation of business and data APIs to provide unprecedented productivity to enterprises. Enterprises can now integrate applications and synchronize data across multiple applications in real time with automatic mappings

Benefits of CIH?

1. Reduce cost and increase efficiency

- Eliminate repetitive, hand-coded integration tasks
- Save network cost/bandwidth by adjusting latency
(batch vs real-time)
- Minimize API call charges, data transfer fees, and
downtime costs

2. Improve Business Continuity with reliable data and resilient integration

3. Speed up time to market with self-service model and by reducing the number of interfaces per application

How can PartnerBO Experts Help?
With the help of Informatica’s application modernization platform at PartnerBO, we support your growth through System & Data integration, focusing on increasing your stre ngth from inside your organization. We help you empower yourself with new capabilities such as data quality , data management, cloud data integration , big data architecture, hospital-wide data quality governance, data security, and data archiving.

Cloud MDM Reduces Cost , Accelarates Deployments

gal.garniek@gembo.co — Mon, 06 Sep 2021 07:13:55 GMT

Drive Quick Return on Investment With Modular End-to-End MDM on Cloud

Significant problems could be created with fragmented data and have interrupted business processes for years. Informatica MDM Cloud Edition empowers companies with reliable data about customers, suppliers, products, locations, and more by delivering a single, trusted, and complete 360-degree view of business-critical data,

The Challenge

Many Master Data Management (MDM) programs face struggle to achieve and maintain business engagement and measurable business value. Absence of executive sponsorship can be a major MDM challenge and the amount of cultural transformation required, a key concern is the lack of agility necessary to ensure your MDM initiative has the effective, scalable infrastructure support IT needs to deliver results at the speed of business innovation.

While executive sponsorship for MDM can be addressed with a strong, outcome-focused business case, the challenge for many organizations involves acquiring the skills and supporting infrastructure required for a successful MDM implementation. In their efforts to focus their MDM resources on transforming their data into results with tangible business value, business leaders often look for ways to streamline—or bypass entirely—the infrastructure provisioning process. This can create future challenges for MDM leaders, who find themselves scrambling to get much-needed maintenance and upgrade support so they can leverage the latest and greatest features offered by their MDM solution.

The Solution

Successful MDM projects focus on driving initial and ongoing business value by creating a trusted source of reliable information. The IT leaders driving the MDM implementation should focus their energy on integrating data, ensuring data quality, operationalizing data governance, and securely delivering the insights to operational and analytical systems. Automating the provisioning of the MDM infrastructure based on the unique needs of the project, and cost-effectively managing and maintaining the MDM environment effectively frees up IT, which allows greater focus on driving business value from master data.

Informatica MDM Cloud Edition combines the widely recognized capabilities of Informatica MDM with the agility of the cloud. It can address organizations’ unique MDM challenges, as it combines the flexibility, scalability, and powerful features of Informatica’s leading MDM solution . Because Informatica MDM Cloud Edition is modular and combines embedded data integration, data quality, and business process management in one single solution, it enables organizations to:

Benefit from a quick start by managing the complex MDM installation
Leverage Informatica expertise for hosting, monitoring, and maintaining MDM
Automatically leverage the latest features and enhancements with product upgrades and service updates
Reap the benefits of Informatica’s award-winning data security to ensure business-critical data is safe in the cloud
Eliminate infrastructure costs and increase revenue by improving operations

Informatica Enables the 360-Degree Customer View

Key Features:

Combine the Power of Informatica MDM With the Speed and Agility of Cloud

Informatica MDM Cloud Edition accelerates the speed of MDM deployment and MDM 360 applications, including Customer 360, Product 360, and Supplier 360. MDM running on the cloud infrastructure allows you to be agile and innovative and leverages a simple, pay-as-you-go pricing approach, which removes any upfront investment in infrastructure. This pricing model—based on paying only for the capacity you use—allows you to access all the benefits of Informatica MDM, regardless of whether you’re a large, medium, or small business.

Auto-Upgrade to Leverage Latest Features

With Informatica MDM Cloud Edition, organizations get all the features of Informatica MDM, along with automated upgrades and fixes. This means you will no longer have to worry about upgrading Informatica MDM. Because the security updates are included, this frees up time, so you can focus on driving business outcomes from your MDM implementation. This also lets you leverage the latest and greatest enhancements, features, and functionality Informatica delivers with each release

Lower Maintenance Costs and IT Expenses

With Informatica MDM Cloud Edition, IT management is now Informatica’s responsibility. Eliminate infrastructure staffing expenses for a small monthly fee. This is the most cost-efficient method to use, maintain, and upgrade your MDM system, significantly lowering your company’s IT expenses. You’ll be in the safe and experienced hands of Informatica’s award-winning customer service professionals.

Enjoy End-to-End MDM Capabilities

Informatica MDM Cloud Edition offers all the capabilities of an Informatica MDM on-premises installation. It embeds Informatica’s market-leading Data Quality, Data Integration, and Business Process Management solutions to support the delivery of a complete view of the customer, product, supplier, and other master data. Informatica’s award-winning data security, combined with a secure cloud, helps you ensure the integrity and safety of your data.

Artificial Intelligence in Data Management

gal.garniek@gembo.co — Thu, 19 Aug 2021 11:03:40 GMT

Data-driven digital transformation requires higher quality data to fuel innovation versus previously imagined. Few organizations can afford to scale their resources to support this explosive growth in data volume and complexity, and as a result, they’re struggling to keep up with the pace of technology modernization. These limitations have kept disruption at arm’s length for many companies.

Artificial intelligence (AI) and machine learning (ML) are powering the digital transformations happening in every industry around the world. AI is top of mind for boardroom executives as a strategy to transform their businesses. And it has become pervasive in enhancing our daily life, from the movies we watch to the cars we drive. AI/ML is critical in discovering new therapies in life sciences, reducing fraud and risk in financial services, and delivering truly personalized customer experiences.

The success of AI is dependent on the effectiveness of the models designed by data scientists to train and scale it. And the success of those models is dependent on the availability of trusted and timely data

Four Major Benefits of AI for Data Management:

✓ Productivity

✓ Efficiency

✓ Data experience

✓ Data governance

Informatica CLAIRE: The “Intelligence” in the Intelligent Data Management Cloud

Informatica’s approach to driving data management productivity with machine learning is:

1. The Intelligent Data Management Cloud™: Informatica has delivered an integrated, end-to-end cloud-native data management platform for maximum productivity. By providing unified connectivity, metadata, and operations management, the unified platform accelerates the development and deployment of new data management projects. The platform provides a powerful and consistent set of capabilities for managing data across on-premises, cloud, multi-cloud, and multi-hybrid sources. This unified data management platform is called the Intelligent Data Management Cloud.

2. Metadata : Informatica now has increased its capabilities in this area by collecting a broader spectrum of metadata from across the enterprise, including

Technical metadata, such as database tables, column information, data profile statistics, scripts, and data lineage
Business metadata, which captures context about data, including its meaning, relevance, and criticality to various business processes and functions
Operational metadata about systems and process execution to answer such questions as to When was the data last updated? When was the load process last run? Which data was most accessed?

3. Intelligence : Informatica is delivering an integrated combination of metadata and AI/machine learning with CLAIRE. The metadata collected by the Intelligent Data Management Cloud provides a vast trove of information that the algorithms of CLAIRE can use to learn about an enterprise’s data landscape. This knowledge helps CLAIRE make intelligent recommendations, automate the development and monitoring of data management projects, and adapt to changes from within and outside the enterprise. CLAIRE is what drives the intelligence of all the data management capabilities in the Intelligent Data Management Cloud.

CLAIRE helps a wide spectrum of users:

Data engineers will find many implementation tasks partially or even fully automated
Data analysts will find it easier to locate and prepare the data they need
Business users will quickly identify data that should be subject to prescribed data governance and compliance controls
Data scientists will gain an understanding of the data faster
Data stewards will find it easier to visualize the quality of data
Data security and privacy professionals will find it simpler to detect data misuse, protect sensitive data, and demonstrate that appropriate controls are maintained
Administrators and operators will have the power of predictive maintenance and performance optimization of data management processes

PartnerBO Delivery and Managed Services offering will help you to implement and service Informatica’s Intelligent Data Management Cloud , CLAIRE, and any other Informatica product as well as surrounding eco system.

At PartnerBO we support your growth through System & Data integration , focusing on increasing your strength from inside your organization. We help you empower yourself with new capabilities such as data quality, data management, cloud data integration , big data architecture, hospital-wide data quality governance , data security , and data archiving.

Informatica's New World Data Management | Informatica Data Management

gal.garniek@gembo.co — Tue, 10 Aug 2021 12:37:33 GMT

The Old World of data processing involved extraction with connectors from mainframes, applications, databases, and transformation with an ETL runtime engine, and loading into a data warehouse appliance, a data mart, and more – supported by ETL developers – for BI reporting and analytics. In that world, we could use the ability to leverage the breadth of high-performance connectors, relational star schema optimized engine, and processing and loading all of these into data warehouse appliances, data marts, and relational data databases with no-code mapping and design experiences to avoid a hard-coded, Wild West approach while adhering to an SDLC process. That was the old star schema world.

In the New World, with the separation of compute and storage, we still need a compute stack, connectors, and storage. However, the number of data sources now has fragmented and exploded to include emerging SAS cloud-native sources, real-time sensors, instruments, and more. Thus, instead of ETL, we must take all of these data and load it into Cloud-Native elastic storage, process and transform curate, and prepare it with whatever compute that we prefer, thereby supporting many more initiatives beyond business reporting and analytics like AI/ML, Streaming Analytics, and XOps, empowering a much larger array of data consumers like data engineers, citizen integrators, data scientists.

In this new world, in this new architecture, it is extract, load and transform (ELT). Informatica has reinvented with the broadest portfolio of high-performance metadata-aware connectors to extract and rapidly, massively ingest into our choice of cloud Lake storage – whether it’s AWS S3, Azure ADLS, Google Cloud Storage, Databricks, or Snowflake – leveraging ELT optimized runtime engine. Informatica has enabled through advanced pushdown optimization the deployment and processing at petabyte scale on AWS Redshift, Azure Synapse, Google BigQuery, Databricks, or Snowflake as well as their own Spark-serverless engine. Informatica has pioneered and built thier own AI-powered engine, CLAIRE, to deliver low-code/no-code, intuitive data pipeline development experiences including CI/CD DataOps and MLOps .

Together with Informatica, PartnerBO will help you to implement and service new world modern cloud ELT for cloud DW/L

At PartnerBO we support your growth through System & Data integration , focusing on increasing your strength from inside your organization. We help you empower yourself with new capabilities such as data quality, data management, cloud data integration, big data architecture, hospital-wide data quality governance , data security, and data archiving.

Our services are around and about Intelligent Data Platforms, which are a powerful combination of metadata intelligence and artificial intelligence, fully integrated across all aspects of data management. PartnerBO helps you in your journey to leverage cloud , big data , data management, governance, archiving transformations, data asset monetization, and data-driven decisions, for your business growth goals.

Major Benefits of Cloud MDM Saas For Your Organization

gal.garniek@gembo.co — Thu, 22 Jul 2021 07:09:26 GMT

MDM SaaS:

MDM SaaS or SaaS MDM is Master Data Management Software anchored on Cloud. SaaS is a Software Distribution Model, where a third-party provider hosts the application and makes the application obtainable to buyers over the internet. SaaS is a conventional model used by many companies today like Salesforce, Dropbox for handling enormous data.

Why is Cloud MDM SaaS Supreme/Powerful?

In today’s consumer World, consumers anticipate extreme stability across mediums, be it shopping online or at physical stores. Delivering the customers with satisfaction and a seamless experience is a complex process to stay consistent in the market. Organizations need to guarantee the customers across all mediums, communicate with numerous suppliers, and maintain inventory management. MDM paved its own way to handle the infinite data as there is no single system that can maintain the magnitude of data.

Over the past few years, Cloud computing has been an emerging and promising technology and has shown a clear significant impact on business extension, efficiency, deftness, and cost. This has made many companies consider the cloud a powerful aspect of their IT Strategy. If you are looking to upgrade your MDM to MDM SaaS then this is the perfect time to upgrade and optimize the best use of it. Here are the major benefits of Cloud MDM SaaS which enables you to handle your massive operational data efficiently and offer superior outcomes at your organization.

Major Benefits of Cloud MDM SaaS for your Organisation:

Here are the 5 major Benefits of Cloud MDM SaaS that could optimize your business needs,

✓ Scalability & Performance

✓ Security & Privacy

✓ Architectural Flexibility

✓ Controlled Costs

✓ Improved Support

Scalability & Performance:

The term “Scalability” in Cloud can be exclusively defined as the capability to start small, but expand or shrink the domains or the resources required to meet the changing demand in the day-to-day market.

So can the MDM SaaS provide this scalability in real-time? Even if it does, will it retain its performance? Here is a satisfying answer: The common requirement for any organization is to manage 3 to 8 domains. But MDM SaaS has proven customers handling 20 domains in a single solution.

Hence MDM SaaS provides excellent scalability to manage planned and unplanned spikes without compromising in their performance. The auto-scaling helps to set limits and prevents the customers from runaway or unexpected costs. The Cloud MDM spontaneously responds to the spike in usage and leverages the utilization of most layers of the platform.

Security & Privacy :

In today’s Cloud world, security and privacy have become the major considerations in cloud data management . The cloud providers are funding security and privacy. The certifications on PEN Test, SOC2 Type II, ISO 27001, GDPR, etc... are the standard offering in cloud-native infrastructure. The “shared responsibility” is the best practice for the data security model in the cloud these days. Here the cloud SaaS vendor is responsible for the secured physical infrastructure and the customer is responsible for controlling data and resource access. This ensures that the cloud MDM application can offer higher standards of security and compliance capabilities to the customers.

Architectural Flexibility:

MDM has a specific requirement for a highly flexible data model and seamless access to compound data. The core advantage of SaaS architecture is that we can attain the significant equilibrium between the required elasticity of the data and application layers with scalability and cost-performance provided by the cloud. A cloud-native MDM SaaS that is built using cloud technology is ideally constructed with combined continuous integration/continuous delivery (CI/CD) processes. This guarantees that the systems are always synced up to the latest version and all the customers are benefited from the continuous innovation performed by the application providers.

Reduced Cost:

In the past few years, cloud technology has significantly shown a tremendous impact on extending business, efficiency, agility, and cost and MDM SaaS also does not disappoint us to offer a minimal maintenance cost/effort where a simple automated upgrade process is involved. MDM SaaS focuses on cost optimization and facilitates pay only for what you use which is also an evident factor that depicts MDM SaaS to be cost-efficient.

Improved Support:

As we all believe that SaaS means speedy implementation and it is definitely true that setting up and configuring the environment is much faster in the cloud than on-premises where you have to install the software yourself. But one thing we need to remember is that for any MDM system is it cloud or on-premises, one has to understand, build the data and configure the rules. MDM facilitates absolute control over the solution including its configuration and usage. MDM SaaS does not restrict data access by API limits or throughput. Hence you need well-trained resources in-house to execute the system. Well, in case if you do not have good resources in-house, you can still opt for implementation partners who are proficient to assist you with the implementation. MDM vendors actively and consistently invested in customer success over the years by providing world-class extended support that is required for running your business workload.

Why PartnerBO for Cloud MDM SaaS?

As a selected partner for Informatica, with vast experience across their product: administration, development & managed services, PartnerBO is the natural choice for customers who need to migrate or create a green field implementation of MDM in the Cloud .

Cloud Data Quality as Essential Tool to your Business

gal.garniek@gembo.co — Wed, 16 Jun 2021 15:32:11 GMT

What is Data Quality?

Before we get into data quality tools, let's clarify what we mean when we say "data quality." Data quality may sound like something that every company wants, but what does it entail? Data quality refers to the usefulness and consistency of your data, as well as whether or not you can trust it. The following characteristics determine data quality:

✓ Validity: defined as data that is reliable and accurate.

✓ Accuracy entails exact data that is free of errors and bugs.

✓ Data that behaves consistently regardless of where it is stored or handled.

✓ Relevancy: refers to info that is current, timely, and relevant to your needs.

✓ Completeness: data that is complete with no missing values.

✓ Accessibility: Data that is available wherever and whenever you need it.

Organizations are increasingly migrating on-premises workloads to public clouds. However, while businesses seek to take advantage of cloud environments' scalability, performance, and better/faster access to resources, they struggle to generate measurable results. Adoption from these initiatives The issue of data quality is a major concern, especially because It has the potential to sully the integrity and trustworthiness of apps and analytics insights.

How data quality tools work

Data quality tools are the quickest and most dependable method of delivering data you can rely on. It's helpful to look at all of the procedures required for data quality control to understand why this is the case. Even if your development team has all of the necessary abilities, it's probably not the best use of their time. After all, you want your data experts to concentrate on innovation rather than the mundane data quality chores.

Key features:

Self-Service Cloud Data Quality for Business Users Informatica Cloud Data Quality anchors our years of experience working with customers to recognize and provide solutions to their data quality problems. Informatica Cloud Data Quality, which runs on Informatica Intelligent Cloud Services SM, is part of Informatica Intelligent Data Platform™ so you can easily identify and provide solutions to data quality issues without any need for IT coding or development. As a result, you can leverage its security, reliability, and backup so you put your mind on the excellence of operation rather than paying for infrastructure. Business organizations can specify, validate, and run tests on re-usable data quality rules in a smooth-running and corporate environment.

Manage the Entire Cloud Data Quality Process: Managing the entire data quality can be done Informatica Cloud Data Quality, either your organization is small or big the location of your operations or the types and volumes of data. Whether your business idea is based on working with clients or data of third-party, product or merchant data, contract data, or data from IoT devices, Informatica Cloud Data Quality will make sure you can always trust the quality of your data.

Rich Set of Cloud Data Quality Transformations and Universal Connectivity: Informatica Cloud Data Quality brings about comprehensive and modular support for all data and all use cases, whether your idea is based on a mini project or a complex, cross-enterprise initiative. You can come up with trusted customer, result, investment, or asset data to any integration of data, master data management (MDM), or governance project data. It brings about standardization, matching, worldwide address cleansing, and versatile data quality management for all project types.

CLAIRE – The “Intelligence” in Intelligent Data: Quality The CLAIRE™ technology bring about metadata-driven artificial intelligence to Cloud Data Quality , this enables recommendations of quality data rules which are based on how data of similarities has been managed. CLAIRE can also automatically confirm data similarity, which is the first step toward detecting and removing duplicate data.

Key Benefits

Simplified Administration and Lower Overhead Instead of a collecting points solution, businesses gain a single, easy-to-use, self-service data quality tool from all departments, applications, and deployment prototypes, it is remitted as an economically priced subscription service that is 100 percent in the cloud.

Faster Deployments With Powerful User: Interactions Informatica Cloud Data Quality allows IT organizations to easily access all data and facilitate the completion of data quality-centric estimations. Your IT team can boost data quality projects by constructing data quality mappings within a familiar progress environment that provides data profiling and previously built data quality rules standardization and cleansing.

With high-quality data, you can boost your customer experience initiative: Customers require a great experience. If they don’t get the best of experience with your organization, they’ll not only seek for alternate and more reliable production firm, but they’ll also share their negative experiences across their friends and business network. Savvy organizations understand today’s reality and realize that the difference between offering a stellar experience and a sub-par experience is trusted, reliable data. You need the most precise, up-to-date data available to guarantee that you're aligned with your consumers effectively. With Informatica Cloud Data Quality, you’ll make sure that your team members throughout your organization are running customer experience applications and master data management tools with the best quality data available, and you can truly boost every experience for your clients.

Trust the Results of Your Cloud Data Warehouse and Analytics: You can build the best visualizations on the planet, but if you don’t trust the underlying data, you will not be able to have reliance on the results of your cloud data warehouse initiatives. High-quality data is the most important ingredient for high-quality analytics. With Informatica Cloud Data Quality, you’ll be able to profile, systemize, quantify, and detect the quality of your data, giving you data and analytics that you can trust, today and in the future.

Because of its scalability, cloud computing allows you to easily meet client's requirements. Easy to implement Data Analytics solutions, operates as a cost-cutter, keeps your data secure, provides customer assistance, improves mobility and insight, and much more.

PartnerBO will help you quickly implement processes, identify, fix, and monitor data quality problems in your cloud and on-premises business applications. Informatica Cloud Data Quality’s (CDQ) intelligent self-service approach enables you to profile, cleanse, standardize, deduplicate, and enrich all data using an extensive set of prebuilt data quality rules that includes address verification.

PartnerBO has completed the Informatica Partner Sales Masters – Cloud Modernization Certification

gal.garniek@gembo.co — Tue, 08 Jun 2021 09:20:29 GMT

We are pleased to announce that PartnerBO has completed the Informatica Partner Sales Masters – Cloud Modernization Certification.

This was a great opportunity for us to get the most up-to-date cloud sales training and become certified in cloud modernization.

About PARTNERBO

PARTNERBO supports your growth through System & Data integration, focusing on increasing your strength from inside your organization. We assist empowering you with new capabilities such as data quality, data management, cloud data integration, data security, data archiving and big data governance throughout your organization. We support powerful Intelligent Data Platforms which combine metadata intelligence and artificial intelligence across all aspects of data management. PARTNERBO is headquartered in CA, with offices in Florida, Israel, India and Brazil. For more information visit www.PARTNERBO.co , or send email to support@PARTNERBO.co

Benefits of Migration from Informatica PowerCenter To Informatica Intelligent Cloud Services

gal.garniek@gembo.co — Thu, 29 Apr 2021 12:20:05 GMT

Business Enterprises have since been adopting better means to help their organizations reach the data-driven digital goals.

For a while now, cloud or multi-cloud adoption to execute workloads has dramatically increased. It is known to make life easier by offering various benefits like greater agility, reducing vendor lock-in, improved risk management and performance.

Informatica Intelligent Cloud Services provides users with the drive needed to boost productivity and value in cloud infrastructures.

Its vast, API-driven, microservices-based, AI-powered enterprise iPaaS accelerates productivity and improves speed scale.

The study revealed that workloads executed on the cloud would increase from 36% to 63% in 2022. Why don't you join the moving trend?

Solid Reasons to Migrate From PowerCenter To Intelligent Cloud Services (ICCS).

Informatica PowerCenter and Cloud services are data integration tools proven in their separate ways to be credible and worth the hype.

But there are some features possessed by the ICCS, which made companies that have had in use the PowerCenter tool see the need to migrate to the ICCS data integration tool.

Here are some reasons, gathered based on experience on why varieties of identified organizations prefer not to use Informatica PowerCenter(PwC), hence the upgrade to ICCS.

1. Informatica PowerCenter roadmap and support for advanced cloud applications such as SFDC, SAP, and D365 is not optimal.

2. More developed, critical needs like real-time mass data processing and ingestion, requiring big data infrastructure, are out of reach with the PowerCenter batch support.

3. Cloud data integration and data migration into Google Cloud platform, AZURE, or AWS are limited with PwC (PowerCenter) and its PowerExchange Connectors.

4. PwC has reduced web services support and API management, compared to the IICS and API Manager. IICS also has semi-structured data support.

5. PowerCenter requirement ongoing maintenance and administration resources. When considering the cloud, daily maintenance is not required.

6. Upgrades are not needed in cloud: Unlike powercenter, Informatica Cloud does not require “upgrade projects”.

7. Licensing freedom: when using Informatica Cloud, one can use any service as needed, without the licensing complexity that accompanied PowerCenter.

Exciting Benefits Gotten From using IICS services.
Informatica Intelligent cloud services offer its users a wide range of benefits, hence increasing its use.

Enterprises require quality data to boost business values, accelerate innovations, create opportunities and solve complexities while safeguarding against technology market and business disruptions.

The IICS is the solution as it provides data at scale for all use cases and users. Its system is modular and designed to facilitate the automated delivery of information for self-service access.

IICS also reduces the time spent on activities that aren't central to business by freeing up developers from infrastructure management.

As businesses grow and data volume increases, IICS can scale up and down on-demand; therefore, there is no need to plan high data-volume processing scenarios.

Critical Considerations for Informatica Intelligent Cloud Services.
There are some very vital questions to ask and cases to consider before forging ahead to upgrade or invest in IICS.

It is essential to plan, see the big picture and do a quick mapping exercise on valuable sourcing data and how they get to their appropriate designation.

Try to map the critical milestones in your company’s roadmap to integration platform supports and needs. For example:

Cloud adoption
API management.
Building self-servicing analytics platform with Artificial Intelligence.
Data migrations and improving digital footprints.

The IICS, having its goal as accelerating data-driven the digital transformation of businesses, has been designed comprising of four clouds to achieve complete end-to-end data management in uniform. The four clouds include:

● Data Quality and governance cloud- Improves analytics as data volumes begin to grow. It enables businesses to realize business values from clean and high-quality data with a cloud-based data governance solution.

● Data Security Cloud- Risks of a data breach reduces to the barest minimum. 'Use policies' are enforced to protect sensitive and private data.

● Integration Cloud- Transforms traditional iPaaS with advanced functionality for technical users and tools readily available for business owners.

● Master Data Management Cloud- This helps businesses earn the trust of their customers and optimizes business processes with solutions that maximize salesforce capabilities.

The Right Partner For Your IICS Migration.
Migrating to the Informatica Intelligent Cloud service from Informatica PowerCenter would require the support of cloud data Integration experts.

As globally recognized cloud data governance and integration experts, PartnerBO has done nothing different from bringing business enterprises’ data management goals to reality.

Working with partners, migrating would be stress-free and in a way that brings production downtime to a minimum.

Our strategies and execution further prove our expertise. We have therefore developed an IICS framework and methodology, which you would love when you patronize us.

Conclusion.
The benefits of upgrading to and using the Informatica intelligent cloud service have been highlighted and have spiked some interest.

Nevertheless, while choosing a cloud migration company to partner with for stress-free migration and post-migration customer service, Make PartnerBO your only choice.