Learning Google BigQuery

Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets

Learning Google BigQuery

Thirukkumaran Haridass, Eric Brown

Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets
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Book Details

ISBN 139781787288591
Paperback264 pages

Book Description

Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.

You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you.

This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems.

Table of Contents

Chapter 1: Google Cloud and Google BigQuery

What You Will Learn

  • Get a hands-on introduction to Google Cloud Platform and its services
  • Understand the different data types supported by Google BigQuery
  • Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques
  • Use partition tables in your project and query external data sources and wild card tables
  • Create tables and data sets dynamically using the BigQuery API
  • Perform real-time inserting of records for analytics using Python and C#
  • Visualize your BigQuery data by connecting it to third party tools such as Tableau and R
  • Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data

Authors

Table of Contents

Chapter 1: Google Cloud and Google BigQuery

Book Details

ISBN 139781787288591
Paperback264 pages
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