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.

Mastering data engineering with Databricks tools Databricks delivers a comprehensive ecosystem for building, managing, and scaling modern data workflows. Its Lakeflow framework unifies ingestion, ...

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

Google Cloud Next 2026 unveiled split TPU 8t and 8i chips, an Agentic Data Cloud and a $185 billion capex bet that the agentic enterprise needs specialized silicon.

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

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

A free tool to reduce coding for developers who like to surface T-SQL database recordsets in a simple collection of customized POCO objects. Every so often, I find myself wishing that I had a utility ...

Let's break down when it's ideal to use the NOLOCK hint and when you should never use it. As a consultant, I work on wide swaths of database systems, which means I get to see many, many SQL statements ...

Enables Real-Time, Zero-ETL Graph Queries on the Databricks Data Intelligence Platform Databricks Managed Iceberg Tables, launching in Public Preview at this year’s Data + AI Summit, offers full ...

So much of modern programming is about string manipulation. Whether it’s parsing XML content, building HTML for the browser or trying to understand what the user just typed into that text entry field, ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...