Google BigQuery Analytics

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John Wiley & Sons, 2014/06/09 - 528 ページ
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

この書籍内から

目次

Part I
1
Getting Started with BigQuery
45
Using the CommandLine Client
57
Understanding the BigQuery Object Model
69
Basic BigQuery
93
Big Data Stack 2 0 and Beyond
95
Loading Data
159
Open Source Stack
195
5146AM 05102014
289
Problem Statement
305
Why Do You Need New Ways to Process Big Data?
349
BigQuery Applications
381
How Can You Read a Terabyte in a Second?
383
Summary
433
13
435
What Is BigQuery?
459

Google Cloud Platform
237
Advanced BigQuery
273
Cloud Processing
275
Querying Google DataSources
479
Index
495
著作権

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著者について (2014)

The authors are founding members of the BigQuery team and have helped build and run the service. Jordan Tigani is an active participant in the BigQuery StackOverflow virtual community. Siddartha Naidu has extensive experience helping customers integrate with BigQuery.

書誌情報