BigQuery · Status at source date: Newsletter archive
BigQuery Global Queries enable cross-region joins
BigQuery has launched Global Queries in preview, allowing analysts to join datasets across different regions in a single SQL statement without manually moving data. Alicia Williams tested the feature by joining bike-sharing data from Austin (stored in the US region) and London (stored in the EU region) to compare rental patterns by hour.
What changed
The feature eliminates one of the friction points in working with geographically distributed data. Previously, cross-region analysis required copying data between regions, which created additional storage costs and increased synchronisation complexity. For organisations with multi-region data strategies - whether for compliance, latency, or organisational reasons - this simplifies analysis while maintaining data residency.
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BigQuery Global Queries enable cross-region joins
BigQuery has launched Global Queries in preview, allowing analysts to join datasets across different regions in a single SQL statement without manually moving data. Alicia Williams tested the feature by joining bike-sharing data from Austin (stored in the US region) and London (stored in the EU region) to compare rental patterns by hour.
The feature eliminates one of the friction points in working with geographically distributed data. Previously, cross-region analysis required copying data between regions, which created additional storage costs and increased synchronisation complexity. For organisations with multi-region data strategies - whether for compliance, latency, or organisational reasons - this simplifies analysis while maintaining data residency.
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