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

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

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.

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.

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

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

If you are building a simple dashboard or a form-based application, the traditional JSON API (REST or GraphQL) approach is ...

With this collaboration, UiPath, Inc. (NYSE:PATH) digital workers have access to real-time data from Databricks, making the ...

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

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 ...

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

San Francisco AI and data heavyweight Databricks is reportedly circling a major downtown Chicago office, with the company ...