Today's enterprises need unified semantic layers that seamlessly connect traditional BI, GenBI applications, and emerging AI workloads. As organizations face challenges in making enterprise data truly ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

If you’re working with a microcontroller that reads a sensor, the chances are that at some point you’re faced with a serial ...

Introducing the Data Vending Machine, schema caching in Structural, strengthened synthesis in Textual, + Object and Array generators in Fabricate!

Two Harvard dropouts are launching AI smart glasses that record every conversation. The Halo X glasses promise productivity benefits but raise major compliance and privacy challenges. Meta, Google, ...

Using SQL replication, we pushed incremental data to the cloud every 60 seconds—a fast-enough cadence to enable near-real-time analytics without straining plant bandwidth.

Detailed data that US government agencies collect and make available has underpinned research about people, medicine, science, crime, jobs, housing, climate and the economy.

The Department of Homeland Security may not use Medicaid data for immigration enforcement purposes and the Department of Health and Human Services may not share the protected patient information, ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.