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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
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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 directly.
“The cloud databases. like BigQuery weren t built to support interactive BI, they were built for scale event analytics and scale-type questions,” said Colin Zima, chief analytics officer with Looker, the cloud BI biz Google bought for $2.6bn in February 2020.