As theCUBE Research has been tracking, the transformation of data management systems has been gradual yet profound. Over the past decade, organizations have increasingly recognized the value of ...

Metadata management has become the practical dividing line between AI systems that scale and those that stall. As organizations push AI from experimentation into sustained production, the limiting ...

In 2021, Gartner dropped Metadata Management from their Magic Quadrant, replacing it with a Market Guide for Active Metadata Management. On the surface, this may seem like a minor change, but in ...

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 ...

Small businesses can create, collect and store a hefty amount of data, from daily transactions made in point-of-sale systems to inventory logged once shipments are received. Many of these data points ...

Data platform vendor Informatica is expanding its AI capabilities as the needs of gen AI continue to increase enterprise requirements. Informatica is no stranger to the world of AI; in fact, the ...

Earlier in 2023, we discussed The Importance of Metadata here in the DBA Corner column. And, indeed, metadata is more important than ever before because it helps us to understand our data. Data ...

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 ...

CEO and Co-Founder of one of the first data intelligence platforms, BigID, and a privacy, security, and identity expert. Over the past five years, metadata management and data governance have grown in ...

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...