Gemini in BigQuery features are now generally available, including SQL and Python code generation and explanation, and the BigQuery data canvas.

For large batch queries, BigQuery’s new TreeAH vector index delivers significant latency and cost reductions.

New BigQuery continuous queries execute continuously processing SQL statements as events arrive, for insights that are always up to date.

BigQuery recently gained support for the latest Gemini models, as well as safety enhancements and grounding support.

With BigQuery and data utilization including AI/ML, Japanese cosmetics brand Shiseido cut processing times 90% and saw 80% cost savings.

Move your data lakes and warehouses to Google Cloud with a new migration incentive program as well as enhanced BigQuery migration services and tools.

Techbio company BioCorteX uses BigQuery to store its Carbon Knowledge and Carbon Mirror knowledge graphs to help develop drugs at scale.

Learn how to get self-service production samples from BigQuery in this detailed guide. Learn about policies, requests, and the sampling cycle.

Tips for writing natural language prompts to generate SQL and charts using BigQuery data canvas’ NL2SQL and NL2Chart capabilities.

Learn about BigQuery data canvas in this technical walkthrough with a real-world example based on the public github_repos dataset.