Microsoft explains how Hyperscale separates compute, logging and storage while retaining a single primary for writes and SQL Server transaction semantics.

We live in an era where AI writes programs for us.Using tools like Cloud Code or Codex, it has become easy to create processes that retrieve information from databases.However, just because a program ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

It used to be that finding and using a sample SQL database was quite simple. In fact, the venerable Pubs database used to be installed as part of the SQL Server installation process. Fast forward to ...

The theme for this time is SQL "execution plans."Execution plans are one of the technologies you absolutely must understand when considering database performance.However, this content might also be a ...

If you're considering moving your on-premises SQL Server databases to the Microsoft Azure cloud, you need to decide which of the different cloud options works best for you. You might not realize it to ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

A research-paper retrospective explains how separating query processing, logs, pages and storage changed the scaling behavior of Azure SQL Database.

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Someone finally answered an internet complaint about a famous 90s shooter, and the fix turned into something nobody saw coming ...