The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

I have a relatively complex query that I would like to be able to achieve in one query, as there are a lot of rows to be returned, some of which may be sparse. I'd prefer not to hit the DB 150+ times ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

I've been playing around with the new Microsoft service, currently in preview and it's time to show off what it can do. Have you ever struggled with a database performance problem or ever struggled to ...

Multiple Detail Records - 4 in this case. (linked to the header record) Multiple Inventory Records - again, 4 - (each detail record points to one specific inventory record, but the inventory may be ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

SQL is a convenient way to manage and query your data, but badly written queries can tie up your database. Here are seven common SQL traps and how to avoid them. Database developers have it tough.