As fintech platforms grow, the mix of performance tuning and security oversight becomes harder to manage manually. Systems ...

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 ...

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.

At Cloud Next this week in Las Vegas, Google made its case this week that it has all the pieces — literally the entire “stack” of technologies from chips to models to data management platforms — ...

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.

Databricks has outlined a reference architecture for a multi-agent AI system, named AiChemy, that combines internal enterprise data on its platform with external scientific databases via the Model ...

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 ...