Learning Google BigQuery

Learning Google BigQuery: A beginner’s guide to mining massive datasets through interactive analysis

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

Key Features

• Get started with BigQuery API and write custom applications using it
• Learn how BigQuery API can be used for storing, managing, and querying massive datasets
• Learn everything you need to know about Google BigQuery

Book Description

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

In the final chapters, you’ll explore tips, best practices, as well as 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.

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 SQL techniques
• Use partition tables in your project and query external data sources and wild card tables
• Create tables and datasets dynamically using the BigQuery API
• Insert 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 to implement real-time reporting and analytics of your Big Data

Who This Book Is For

Learning Google BigQuery is for developers, data analysts, and data scientists looking to run complex queries over thousands of records in seconds. No prior experience of working with BigQuery is assumed.

Table of Contents

Chapter 1. Google Cloud and Google BigQuery
Chapter 2. Google Cloud SDK
Chapter 3. Google BigQuery Data Types
Chapter 4. BigQuery SQL Basic
Chapter 5. BigQuery SQL Advanced
Chapter 6. BigQuery API
Chapter 7. Visualizing BigQuery Data
Chapter 8. Google Cloud Pub Sub