linerrealtor.blogg.se - Informatica metadata converter

This helps to assess the usefulness of data assets to other users.Īpply intelligence to derive relationships not obvious in the collected metadata. Gather user input in the form of ratings, reviews, and certifications. Augment the collected metadata with this business context.

This includes databases and filesystems, data integration tools and processes that help fuel your data analytics and data science tools with a high level of trustworthiness toward data fitness.ĭocument the business view of data with glossary terms, concepts, relationships and processes. Scan metadata from all enterprise data systems across the cloud and on-premises, such as data lakes and data warehouses. Informatica metadata management uses a rich set of capabilities to create this shared foundation: Metadata in these four categories becomes the basis for a common metadata foundation.

Usage metadata: User ratings, comments and access patterns.

Operational and infrastructure metadata: Run-time stats, time stamps, volume metrics, log information, system information and location information.

Business metadata: Glossary terms, governance processes as well as application and business context.

Technical metadata: Database schemas, mappings and code, transformations and quality checks.

Informatica helps enterprises to start this journey by tapping into four major categories of metadata: Informatica’s enterprise metadata management tools help you fully harness the value of all your data with active metadata. Informatica Enterprise Metadata Management Tools It also enhances the quality of data analytics to sharpen data-driven decision-making. By tapping into the metadata, your systems can automatically correct and enrich the data feeding into a report. For example, creating a metadata repository can highlight missing, incorrect or anomalous data. This yields benefits across the entire lifecycle of data projects.

It makes broader data management processes, applications and systems more intelligent and dynamic.Īctive metadata management is the foundation of a well-architected data management system. This means your metadata management is accelerated with AI and machine learning, augmented with human knowledge and integrated with data analytics programs and other applications that generate new data insights. As such, metadata management plays a central, strategic role in driving digital transformation.Ī metadata management solution becomes even more valuable if it is active.