The new instances unify warehouse and data lake queries in a single engine, aiming to reduce complexity and eliminate ...

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.

Agentic AI that can plan and execute complex scientific work using natural language, configure the platform itself, and ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Google Cloud used its annual Las Vegas conference this week to make a single, expensive ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress the work of entire engineering teams ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the ...

MyDataWork emerges from Early Access with a workspace that organizes the analytical work agentic AI initiatives depend ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

Compare the best data engineering companies for industrial manufacturing in 2026, with verified use cases, stack coverage, ...

LakeFusion, a Databricks-native Master Data Management (MDM) platform, has closed a $7.5 million Seed round led by Silverton ...

The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...