Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...

Things break and the DBA must be prepared for situations where a failure impacts the availability, integrity, or usability of a database. Reacting to failures and service disruptions is a key ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Microsoft on Thursday leaned more heavily into its support for “data types” within Excel, going beyond the staid concept of numbers and formulas to embrace a huge variety of elements that could reside ...

Organizations often need to develop tailored data migration strategies and use specialized software to complete the data migration process successfully. They also need to decide on which data ...

Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database structure that allows investigators anywhere to more easily study multiple types ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Every enterprise IT executive faces the same AI paradox: their most valuable data sits ...