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.
Key chief analytics officer responsibilities include:
The chief analytics officer oversees the analytics function, including data analytics and data science. The role sets strategic priorities for the function and identifies new business opportunities based on data.
Collaborating with the C-suite. Driving business transformation with data insights requires close collaboration with the business and IT to understand needs, generate business value, and communicate results.
Building analytics capabilities. The chief analytics officer is responsible for defining and driving analytics and business intelligence initiatives. This often includes assessing the current state of data and analytics capabilities, developing an analytics strategy, working with the IT function to develop data infrastructure, and creating and executing a product development roadmap.