In our opinion, real data warehouses have all of the issues mentioned above. Hence, any text-to-SQL benchmark should address the difficulties of real-world data stores. Those that do not are of ...

IntroductionIt is a common story that a table started with the assumption that "soft deletes using `deleted_at` are safe" ...

Microsoft is positioning its broader data platform around AI business value. Customers want to know how the company is ...

Space and Time CTO Scott Dykstra discusses how Proof of SQL lets smart contracts query verified Ethereum data in under a second, where AI agents are already using onchain data to gate trades, and why ...

In the world of system development, 'spaghetti code'—created by repeatedly patching existing source code with every requirement change—significantly degrades maintainability and will eventually cause ...

Getting context right is crucial for success with enterprise AI, but no one’s 100% there yet. We catch up with the thinking ...

A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.

How a utility billing team migrated COBOL logic to Java one algorithm at a time using parallel runs, reversible cutovers, and ...

Batch and streaming are two different ways of processing data, and both are relevant in today’s world. Pick the approach that’s right for you without falling ...

Wall Street spent the week arguing about whether AI is slowing down. The other bubble is what the SaaS incumbents did when ...

Discover What Is SAS Software, Core Functions, and Industry Impact—exploring its analytics power, data-driven insights, and ...

What vector and graph databases actually do, why AI agents made both matter, which vendors offer UK hosting, and when the ...