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 nested and repeated records

Google BigQuery supports loading of JSON files into BigQuery tables. JSON format data can contain nested datatypes and repeated datatypes. The example table shown in the following screenshot has an Employee_Names column as RECORD datatype. Each record in that column has two columns, one to store the first name and one to store the last name. Create the table as shown in this screenshot:

Download the following file to load to this new table. The file is a JSON file that contains the records to be loaded into this table from JSON format:

Upload the file to your Google Cloud Storage bucket using the gsutil command as shown here:

gsutil cp employeedetails.json gs://myfirstprojectbucket201706/employeedetails.json

Run the following command...