• New BigQuery global queries let you explore distributed data with a single SQL statement Product Manager Software Engineer Our most intelligent model available yet for complex tasks on Gemini Enterprise and Vertex AI In a global economy, data is generated and stored all over the world. • For a multinational corporation, customer data may reside close to headquarters in the US, while transaction logs are split between Europe and Asia, helping to meet performance, regulatory compliance, and data sovereignty needs. • However, this creates a challenge: How do you get a single, unified view of your business if your data is spread across continents? • Historically, the answer has involved complex, time-consuming, and costlyETLpipelines to copy and centralize data before it could be analyzed. • This introduces delays, adds complexity, and hinders teams from performing timely, ad-hoc analysis. • Today, we’re changing that withglobal queriesin BigQuery, which lets you query data stored in different geographic locations with a single, standard SQL query - no ETL required.

Article Summaries:

  • Google Cloud has announced a preview of “global queries” for BigQuery, a feature that lets users run a single SQL statement across datasets stored in multiple geographic regions without the need for ETL pipelines. The system automatically partitions the query, executes parts in their native locations, and then aggregates results in a chosen region, aiming to minimize data transfer. The feature is opt‑in, requiring project‑level activation and user permissions, and lets administrators specify the execution location to meet data residency and compliance rules. Early adopters, such as EssilorLuxottica, report that the tool enables cross‑region analysis while preserving security and governance controls.

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