With SQL Server 2000, there are myriad choices for backing up your database. Whether your database is small and changes infrequently or very large and changes rapidly, there is a backup strategy to ...

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 ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Using SSDT means we don't just shout orders at the database; instead, we plan what we're going to say. For almost 13 years, Microsoft has tried to make Visual Studio a place where developers can do ...

In most large enterprises, the greatest concentration of operational complexity sits quietly inside SQL Server estates. Hundreds, and in some cases thousands, of databases spanning production, ...

The extension model introduced with Visual Studio Code and subsequently tracked by the Visual Studio IDE is proving so popular it has been applied to SQL Operations Studio. Still in preview, SQL ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Today’s world is run on data, and the amount of it that is being produced, managed and used to power services is growing by the minute — to the tune of some 79 zettabytes this year, according to one ...