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

Enterprise teams no longer have to open every individual campaign component, parse SQL queries, or reverse-engineer segmentation logic just to understand what a marketing program does. MessageGears ...

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

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

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

Multiple 2026 data engineering guides from industry sources outline a skills roadmap emphasizing Python, SQL, cloud platforms, orchestration tools, and AI-driven data integration. The evolving ...

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.

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.

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

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...

Google Search Central announced that Search Console’s branded queries filter is now available to all eligible sites, causing many SEOs to ask questions about it and Google’s John Mueller stepped in to ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...