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

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 ...

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 ...

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 ...

Designing a data model that supports the reporting and analytical functions is no different, initially, than any other modeling effort. Understanding the data is crucial. The data architect or modeler ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

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