Google BigQuery Analytics

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Book description

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

Detailed info
Age restriction:
0+
Date added to LitRes:
21 June 2018
Size:
530 pp.
ISBN:
9781118824870
Total size:
8 MB
Total number of pages:
530
Page size:
225 x 273 мм
Publisher:
Wiley
Copyright:
John Wiley & Sons Limited
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