Overview of Google Bigquery Analytics (MISL-WILEY) Book

This book shows business and data analysts how to use BigQuery most effectively, avoid common pitfalls and ultimately execute sophisticated queries against large, complex data sets. The authors share tips and recipes for running complex queries and they also show how to write code to communicate with the BigQuery API. The authors demonstrate best practices and techniques against an extended real-world example -- a web application that collects sensor data from mobile devices and displays a dashboard visualizing the data in real-time. Special Features ? Google invented the core technologies on with the Big Data industry has been built ? BigQuery is Google's first commercial product based on these technologies ? BigQuery lets users work with basic SQL queries---making it much easier to learn and use than competing products. ? All code examples will be in Python---the most popular language for big data analytics ? The authors are on the BigQuery product team at Google; they actively promote the product at major industry events internationally, including Google I/O and Strata. Table of Content Introduction Part I BigQuery Fundamentals Chapter 1 The Story of Big Data at Google Chapter 2 BigQuery Fundamentals Chapter 3 Getting Started with BigQuery Chapter 4 Understanding the BigQuery Object Model Part II Basic BigQuery Chapter 5 Talking to the BigQuery API Chapter 6 Loading Data Chapter 7 Running Queries Chapter 8 Putting It Together Part III Advanced BigQuery Chapter 9 Understanding Query Execution Chapter 10 Advanced Queries Chapter 11 Managing Data Stored in BigQuery Part IV BigQuery Applications Chapter 12 External Data Processing Chapter 13 Using BigQuery from Third-Party Tools Chapter 14 Querying Google Data Sources Summary Index

• Book Type :

Databases

• Book Binding :

Paperback

• Language :

English

• Number of Pages :

528 pages

• ISBN - 10 :

8126551062

• Google Bigquery Analytics (MISL-WILEY) Published On :

5-Aug-14

• Resource:

Computing, Internet & DigitalMedia, Databases for Students and Professionals

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