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'BigQuery is pretty fast anyway so you'd really need to value the extra speed' Lindsay Clark Mon 1 Mar 2021 // 18:33 UTC Share Copy Google has introduced a caching layer in Big Query - its cloud data warehouse - designed to speed up responses to users as they explore and experiment with data. Under the moniker BI Engine, the data layer is designed to bridge the gap between BI tools that are built for interactivity like Tableau, which extracts data from the data warehouse, and an in-memory database for greater interactivity and Google's Looker, which queries data direct...

Google Cloud Announces BigQuery Features That Accelerate Performance and Increase Efficiency for all Business Intelligence Workloads BI Engine and materialized views give organizations performance gains across any business intelligence tool, from Google's Looker and Connected Sheets to Tableau, to Microsoft Power BI, and more News provided by Share this article Share this article SUNNYVALE, Calif., Feb. 25, 2021 /PRNewswire/ -- Google Cloud today announced two powerful enhancements that will continue to meet the customer demand of reducing time to insight and increasing performance of BigQue...