Google Bigquery Analytics

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9788126551064: Google Bigquery Analytics

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 will share tips and recipes for running complex queries. And they will also show how to write code to communicate with the bigquery api. The authors will 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. Along the way, the authors will use examples to demonstrate streaming ingestion, transformation via hadoop in google compute engine, appengine datastore integration and using gviz with tableau to generate charts of query results. The authors will not just cover the mechanics of using bigquery, they will also cover the architecture of the underlying dremel query engine: understanding how a query will execute is a key to getting good results from bigquery. The book describes how dremel works and pairs it with concrete query examples showing how to work around limitations in the architecture. The query samples will be in bigquery's variant of sql. And the web application examples will be in python, the most popular language for analytics. Where the java analogue of the python samples would differ significantly, java samples will be given as well. All code and data sets will be available on the book's companion website.

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Book Description Wiley India Pvt. Ltd, 2014. Softcover. Book Condition: New. 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. 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 Printed Pages: 528. Bookseller Inventory # 85556

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Book Description Wiley India Pvt. Ltd, 2014. Softcover. Book Condition: New. 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. 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 Printed Pages: 528. Bookseller Inventory # 85556

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