Book Image

Learning Google BigQuery

By : Thirukkumaran Haridass, Mikhail Berlyant, Eric Brown
Book Image

Learning Google BigQuery

By: Thirukkumaran Haridass, Mikhail Berlyant, Eric Brown

Overview of this book

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 (9 chapters)
Free Chapter
Google Cloud and Google BigQuery

Querying external data sources using BigQuery

BigQuery supports querying and joining of data from external data sources on the Google Cloud Platform. The following are the data sources you can query from BigQuery:

  • Google Cloud Storage files
  • Google Bigtable database
  • Google Drive files

The following demo shows how to query a CSV file in the Google Cloud Storage bucket using the BigQuery engine. The performance of the queries against external data sources is not as good as BigQuery data, and so it should be used with caution. The following are the steps to integrate Google Cloud Storage bucket files for querying:

  1. Create a table definition file for the file in the Google Cloud Storage bucket
  2. Link the data source as a table in the BigQuery dataset
  3. Query the table in the BigQuery dataset