E-book details

Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis

Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis

Thirukkumaran Haridass, Eric Brown

Ebook
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.
  • 1. Google Cloud and Google BigQuery
  • 2. Google Cloud SDK
  • 3. Google BigQuery Data Types
  • 4. BigQuery SQL Basic
  • 5. BigQuery SQL Advanced
  • 6. BigQuery API
  • 7. Visualizing BigQuery Data
  • 8. Google Cloud Pub Sub
  • Title: Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
  • Author: Thirukkumaran Haridass, Eric Brown
  • Original title: Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
  • ISBN: 9781787286290, 9781787286290
  • Date of issue: 2017-12-22
  • Format: Ebook
  • Item ID: e_15uk
  • Publisher: Packt Publishing