Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

The job market for professionals with Structured Query Language (SQL) skills is experiencing a robust and growing demand across a variety of industries, making now a great time to pursue training in ...

As you finish up your manuscript, the next step is often shopping it around to potential publishers. While this can be a daunting and time-consuming task, it doesn’t have to be a particularly ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. The other week, I was reading an email I ...

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...