Systems | Development | Analytics | API | Testing

Query templates in BigQuery data clean rooms let you create pre-defined queries that run against specific tables, reducing the risk of data exfiltration.

With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.

Your AI-powered data science partner just got a major upgrade. The Data Science Agent now automates ML workflows with Spark, BigQuery ML, & BigQuery DataFrames.

In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.

BigQuery’s Column Metadata (CMETA) index delivers superior scalability and performance, with no maintenance overhead, and may reduce slot usage.

Minimize data loss during planned DR activities and ensure business continuity with soft failover in BigQuery Managed Disaster Recovery.

BigQuery now integrates Earth Engine for geospatial analytics, making it easy to join structured data with satellite imagery and visualize insights.

Automate your Databricks to BigQuery migration. Learn how to use Gemini to translate complex SQL code accurately and save hours of manual work.

BigQuery short query optimizations accelerate small queries by executing them as a single stage. It can significantly improve slot time and latency.

BigQuery ML TimesFM model is now in preview, and forecasts datasets through the use of generative AI.