Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...

Make metadata meaningful to you, your users and your organization by managing it well. A recent article in the Atlantic, “There is Too Much Stuff” posits that, “when you type hangers into Amazon’s ...

REDWOOD CITY, Calif., Nov. 24, 2020 — Informatica, an enterprise cloud data management leader, has announced that Gartner, Inc., a leading IT research and advisory firm, has positioned Informatica as ...

WALTHAM, Mass., March 14, 2024 – Starfish Storage, the leader in metadata-driven unstructured data management, proudly celebrates its 10-year anniversary. Coinciding with this milestone, the company ...

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 ...

Syncsort is incorporating new open metadata management capabilities in its DMX-h data integration software that, along with its seamless integration with Cloudera Navigator, aim to make big data ...

Any organization looking to manage and exploit its knowledge more effectively can't afford to ignore metadata creation. Metadata's application, however, can't stop at creation. Organizations must ...

Over recent years, the quantity and complexity of the data required for a financial institution to operate effectively has increased dramatically, making it a reasonable assumption that demand for ...

Spatial metadata are basically computerized card catalogs on geospatial data. Without them, prospective users would have difficulty judging the availability, reliability and appropriateness of the ...

Research data management is the care and management of data from all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, ...