Google BigQuery Analytics

by Tigani, Jordan

Type Book

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Title Statements

Full title :Google BigQuery Analytics / Jordan Tigani, Siddartha Naidu.

Summary

This 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. It 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. --

Edition Statements

Publication Date:©2014

Publication Statements

Publisher(s):John Wiley & Sons, Inc
Place of Publication:Indianpoolis
Language:eng
Publication Date:©2014

Notes

Includes index.

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9781118824870, 1118824873, 1118824822, 9781118824825, 9781306821407, 1306821401, 1118824792, 9781118824795
oclc:ocn880826950
LC Classification:TK5105.885.G66
Dewey Decimal:006.3

Part I: BigQuery Fundamentals; In This Part; Chapter 1: The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Problem Statement; Summary; Chapter 2: BigQuery Fundamentals; What Is BigQuery?; BigQuery Sensors Application; Summary; Chapter 3: Getting Started with BigQuery; Creating a Project; Running Your First Query; Using the Command-Line Client; Setting Up Google Cloud Storage; Development Environment; Summary; Chapter 4: Understanding the BigQuery Object Model; Projects; BigQuery Data; Jobs.

BigQuery Billing and QuotasData Model for End-to-End Application; Summary; Part II: Basic BigQuery; In This Part; Chapter 5: Talking to the BigQuery API; Introduction to Google APIs; BigQuery REST Collections; Summary; Chapter 6: Loading Data; Bulk Loads; Streaming Inserts; Summary; Chapter 7: Running Queries; BigQuery Query API; BigQuery Query Language; Summary; Chapter 8: Putting It Together; A Quick Tour; Mobile Client; Log Collection Service; Dashboard; Summary; Part III: Advanced BigQuery; In This Part; Chapter 9: Understanding Query Execution; Background; Storage Architecture.

Query ProcessingArchitecture Compa…