Google BigQuery analytics
Bibliographic details
Additional authors
Naidu, Siddartha
Summary
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. Technologies that Google invented---including MapReduce and Google File System (which became Hadoop) and BigTable---paved the way for the open source projects on which the Big Data industry has been built. Dremel is the Google analytics engine for Big Data; Google has decided to turn this into a product of its own: Google BigQuery.