One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

Could help break silos, but users should take wait-and-see approach to system limited to Microsoft DBs and DBaaS ...

The Database Hub provides a single, centralized management hub for Azure SQL, Cosmos DB, PostgreSQL, and more. SQL databases ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...