Google BigQuery Analytics
By Jordan Tigani, Siddartha Naidu
Publisher: Wiley
Final Release Date: May 2014
Pages: 528

Run complex queries and write code with BigQuery

If you’re a data analyst, developer, or data scientist, BigQuery can save you big time, allowing you to run complex queries over billions of records—and get answers in seconds. In Google BigQuery Analytics, you’ll learn how to use BigQuery effectively, avoid common pitfalls, and execute sophisticated queries against complex data sets. Explaining the hows and whys of BigQuery, this book gives expert advice to help you get your data in, get it out, and gain the most actionable insights from your analysis.

  • Explains the details of authentication and communication with the BigQuery API
  • Shows you how to get your data in and out of the service
  • Demonstrates how to compose powerful queries from simple pieces
  • Covers using the service from the Google Cloud Platform and from third-party tools
  • Offers real-world examples that demonstrate current best practices and techniques
  • Includes web application examples coded in Python, a popular language for big data analytics
  • Features a companion website and public datasets that are used in the book
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Big Data

By Nadim

from Seattle, WA

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  • Accurate
  • Concise
  • Helpful examples
  • Well-written


    Best Uses

    • Expert
    • Intermediate

    Comments about oreilly Google BigQuery Analytics:

    I'm just part way thru this but already found it to be one of the clearest explanations of big data in practice (thru the Big Query tool).

    I know the author well and he truly is a master in the field and one of the key people behind the product.

    The book is much more than a HOWTO manual, it explains the internals of the product and in general gives some really interesting insight into the design choices needed to operate at these massive scale levels.

    The book is easy to read, I learned a lot and found it really fun to get thru.

    Read the book, learn some fascinating insights on the internals and how to use the service to it's full potential. Learn from the best.

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