Announcing the public preview of BigQuery change data capture (CDC)
BigQuery change data capture lets you replicate, insert, update, and/or delete changes from source systems without DML MERGE-based ETL pipelines.
BigQuery change data capture lets you replicate, insert, update, and/or delete changes from source systems without DML MERGE-based ETL pipelines.
Seamless and low-latency replication from operational databases, including PostgreSQL, directly to BigQuery, enabling near real-time insights.
BigQuery federated queries gets SQL pushdown, private IP access, priority queues for Spanner federation, and Spanner-to-BigQuery JSON type mapping.
We are announcing BigQuery ML inference engine, which allows you to run predictions on a broad range of models hosted across multiple locations.
New BigQuery pricing editions and autoscaling let you choose the right price-performance for your workloads, and pay for only what you use.
BigQuery data clean rooms can help organizations create and manage secure environments for privacy-centric data sharing, analysis, and collaboration.
BigQuery’s serverless architecture features storage and query optimizations that deliver transformational data analytics performance.
How Sift Delivers Fraud Detection Workflow Backtesting at Scale powered by BigQuery.
Retail companies can easily visualize and analyze their geospatial data in BigQuery using the CARTO platform.
Unify data from diverse sources and formats using Aiven Kafka's open source streaming. Analyze with BigQuery for swift, accurate insights.