BigQuery And Spanner With External Datasets Boosts Insights
Data analysts can browse, analyze, and query Spanner tables just as they would native BigQuery tables with to this productivity-boosting innovation that connects Spanner schema to BigQuery datasets
Operational dashboards: A service provider uses BigQuery for historical analytics and Spanner for real-time transaction data
Customer 360: By combining extensive analytical insights on customer loyalty from purchase history in their data lake with in-store transaction data
Information security businesses’ Security Operations (SecOps) personnel must use AI models based on long-term data stored in their analytical data store to assess real-time streaming data entering their operations data store
Simplified query writing: Eliminate the need for laborious federated queries by working directly with data in Spanner as if it were already in BigQuery
BigQuery continuously asks Spanner for the most recent data, giving reliable, current insights without affecting production Spanner workloads or requiring intricate synchronization procedures
Low-latency performance: BigQuery speeds up queries against Spanner by using parallelism and Spanner Data Boost features, which produces results more quickly