Fusing Cloud Data Governance and Catalog

Posted by michaelborges on September 20th, 2022

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 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.

 

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michaelborges

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michaelborges
Joined: September 12th, 2022
Articles Posted: 10

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