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 ...

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 ...

Ensuring data quality is a big part of regulatory compliance. Its importance cannot be understated. Poor data quality costs the typical company at least 10% of revenue, and 20% is probably a better ...

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 ...

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 ...

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced that Gartner, Inc. has recognized the company as a Leader in the new 2025 Gartner(R) Magic ...

OAKLAND, Calif.--(BUSINESS WIRE)--Fivetran, the global leader in modern data integration, today announced the availability of Fivetran’s Metadata API to enable the tracking of data “in-flight” from ...

SAN CARLOS, Calif.--(BUSINESS WIRE)--MarkLogic Corporation, a leader in complex data integration and portfolio company of Vector Capital, today announced it has acquired Smartlogic, a premier metadata ...

CEO and Co-Founder of Alation, the pioneer of the data catalog market and the leader in enterprise data intelligence solutions. Business intelligence (BI) is a $23 billion market and a staple of ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...