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 ...

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 ...

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 ...

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 ...

Snowflake combines its proprietary SQL generation model with the Mistral Large text generation model to create a text-to-SQL engine for Snowflake Copilot. The development of Copilot benefits from ...

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

See how try and otherwise protect custom column math from type errors in Power Query, saving time and keeping your refresh ...