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

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Customers prefer BigQuery for effortlessly integrating many data sources, enriching data with AI and ML, and directly manipulating warehouse data with Pandas

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The EXPORT DATA to Bigtable (reverse ETL) tool is now generally accessible to bridge analytics and operational systems and provide real-time query latency

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BigQuery BI Engine intelligently caches your most frequently used data to speed up ad-hoc analysis for real-time applications

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Another prominent use case for BigQuery-Bigtable Reverse ETL is feeding ML inference models historical data like consumer purchase history from Bigtable

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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

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BigQuery’s history data can be used to build models for recommendation systems, fraud detection, and more

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