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

About This Book

Get started with BigQuery API and write custom applications using it
Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease
A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery

Who This Book Is For

If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed.

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

In Detail

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.

Style and Approach

This book follows a step-by-step approach to teach readers the concepts of Google BigQuery using SQL. To explain various data querying processes, large-scale datasets are used wherever required.

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