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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by [Valliappa Lakshmanan, Jordan Tigani]

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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale 1st Edition, Kindle Edition

4.7 out of 5 stars 60 ratings

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About the Author

Valliappa (Lak) Lakshmanan is a Tech Lead for Big Data and Machine Learning Professional Services on Google Cloud Platform. His mission is to democratize machine learning so that it can be done by anyone anywhere using Google's amazing infrastructure (i.e., without deep knowledge of statistics or programming or ownership of lots of hardware).



Jordan is engineering director for the core BigQuery team. He was one of the founding engineers on BigQuery, and helped grow it to be one of the most successful products in Google's Cloud Platform. He wrote the first book on BigQuery, and has also spoken widely on the subject. Jordan has twenty years of software development experience, ranging from Microsoft Research to Machine Learning startups.

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B07ZHQ3MGN
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (23 October 2019)
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 11776 KB
  • Simultaneous device usage ‏ : ‎ Unlimited
  • Text-to-Speech ‏ : ‎ Enabled
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 669 pages
  • Customer Reviews:
    4.7 out of 5 stars 60 ratings

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kryten
4.0 out of 5 stars Expensive but thorough
Reviewed in the United Kingdom on 11 September 2021
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Trist
5.0 out of 5 stars A must have for BigQuery users
Reviewed in the United Kingdom on 4 July 2020
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Celia Muriel
4.0 out of 5 stars Buen libro de consulta sobre BigQuery
Reviewed in Spain on 30 December 2020
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Alexei Colisnicenco
5.0 out of 5 stars Very useful and well structured
Reviewed in Germany on 21 April 2021
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中村 悟
5.0 out of 5 stars BigQueryがこれからの人も、使い倒している人も必須です!
Reviewed in Japan on 11 September 2020
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