For those who want to know how to use BigQuery effectively, avoid common mistakes and execute sophisticated queries against large datasets, Google BigQuery Analytics is the perfect guide, providing business and data analysts with the latest tips on running complex queries and writing code to communicate with the BigQuery API.
The authors - Jordan Tigani and Siddartha Naidu - are founding members of the Google BigQuery team and use real-world examples to demonstrate current best practices and techniques. They also explain and demonstrate streaming ingestion, transformation via Hadoop in Google Compute engine, AppEngine datastore integration and how to use 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.
Divided into four parts, the authors start by covering BigQuery Fundamentals, followed by further sections which look at Basic BigQuery, Advanced BigQuery and BigQuery Applications.
Featuring a companion website that includes all code and data sets from the book, Google BigQuery Analytics explains everything analysts need to know to effectively use BigQuery, including web application examples coded in Python.
Written by an expert with over 15 years' experience in the field, this book establishes the foundations of Cloud computing, building an in-depth and diverse understanding of the technologies behind Cloud computing. In this book, the author begins with an introduction to Cloud computing, presenting fundamental concepts such as analyzing Cloud definitions, Cloud evolution, Cloud services, Cloud deployment types and highlighting the main challenges. Following on from the introduction, the book is divided into three parts: Cloud management, Cloud security, and practical examples.
Part one presents the main components constituting the...