Google BigQuery (O'Reilly)
Wednesday, 15 April 2020

This Definitive Guide covers Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets.  Authors Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.

<ASIN:1492044466>

 

Author: Valliappa Lakshmanan and Jordan Tigani
Publisher: O'Reilly
Date: November 2019
Pages: 498
ISBN: 978-1492044468
Print: 1492044466
Kindle: B07ZHQ3MGN
Audience: Developers wanting to use BigQuery
Level: Intermediate
Category: Data Science

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Publisher: Manning
Date: February 2022
Pages: 448
ISBN: 978-1617299827
Print: 1617299820
Kindle: B09P1Z2PPB
Audience: C# developers
Rating: 5
Reviewer: Mike James
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Publisher: Addison-Wesley
Pages: 400
ISBN: 978-0137889655
Print: 0137889658
Kindle: B0CLL1TGVT
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Rating: 3
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