Google BigQuery Analytics

Nonfiction, Computers, Database Management
Cover of the book Google BigQuery Analytics by Jordan Tigani, Siddartha Naidu, Wiley
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Author: Jordan Tigani, Siddartha Naidu ISBN: 9781118824795
Publisher: Wiley Publication: May 21, 2014
Imprint: Wiley Language: English
Author: Jordan Tigani, Siddartha Naidu
ISBN: 9781118824795
Publisher: Wiley
Publication: May 21, 2014
Imprint: Wiley
Language: English

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets

Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results.

  • Features a companion website that includes all code and data sets from the book
  • Uses real-world examples to explain everything analysts need to know to effectively use BigQuery
  • Includes web application examples coded in Python
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets

Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API. The book uses real-world examples to demonstrate current best practices and techniques, and also explains and demonstrates streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration, and using GViz with Tableau to generate charts of query results. In addition to the mechanics of BigQuery, the book also covers the architecture of the underlying Dremel query engine, providing a thorough understanding that leads to better query results.

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