Many businesses are facing data explosion because of the sheer quantity that is generated almost every day. This is where metadata management comes into the picture. It allows for proper organizing ...

Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Alation Inc., the leader in enterprise data catalogs, today announced that it has been selected to the Constellation ShortList™ for Metadata Management, Data ...

We examine the challenges organizations grapple with in the complexities of the modern data stack and look toward a sixth data platform, one assembled from modular, multivendor components. Dbt Labs ...

erwin, Inc. has acquired metadata management and data governance provider AnalytiX DS (ADS), enhancing erwin’s EDGE Data Governance Platform with metadata connectors and automated code generation, ...

Keeping track of all your data -- where it's been, where it's going, who accesses it, and what they do with it -- is neither fun nor exciting. But it is a necessary substrate for holistic data ...

REDWOOD CITY, Calif., Aug. 14, 2018 – Alation Inc., the data catalog company, today announced it has been named a Leader for the second consecutive year in the 2018 Gartner Magic Quadrant for Metadata ...

CEO and Co-Founder of one of the first data intelligence platforms, BigID, and a privacy, security, and identity expert. Metadata is the lifeblood of modern data management — it's the key to being ...

More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

In the process of gathering data for secondhand use, such as data warehouses and their many variants, organizations picked and chose pieces of data that fit their idea of what was needed to support ...