Reverse ETL: On-demand BigQuery To Bigtable Data Exports
Reverse ETL between BigQuery and Bigtable reduces query latency in real-time systems, but more is needed! it is working on real-time architecture data freshness with continuous queries
Customers prefer BigQuery for effortlessly integrating many data sources, enriching data with AI and ML, and directly manipulating warehouse data with Pandas
The EXPORT DATA to Bigtable (reverse ETL) tool is now generally accessible to bridge analytics and operational systems and provide real-time query latency
BigQuery BI Engine intelligently caches your most frequently used data to speed up ad-hoc analysis for real-time applications
Another prominent use case for BigQuery-Bigtable Reverse ETL is feeding ML inference models historical data like consumer purchase history from Bigtable
A data sketch is a brief summary of a data aggregation that contains all the information needed to extract a result, continue it, or integrate it with another sketch for re-aggregate
BigQuery’s history data can be used to build models for recommendation systems, fraud detection, and more