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Learning Google BigQuery

Learning Google BigQuery

By : Berlyant, Haridass, Brown
3.3 (4)
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Learning Google BigQuery

Learning Google BigQuery

3.3 (4)
By: Berlyant, Haridass, 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)
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1
Google Cloud and Google BigQuery

Preface

Learning Google BigQuery is filled with unique and comprehensive information about Google's petabyte-scale data warehouse solution, Google BigQuery, hosted on Google Cloud Platform. This book also covers other services on Google Cloud Platform and how to integrate them with Google BigQuery.

You'll learn how to get started with Google Cloud Platform and try out various services in Google Cloud Platform. The book explains how to migrate your existing data from your enterprise to Google BigQuery, optimize your data in BigQuery, query the data here, and connect BigQuery data to various sources for reporting and visualization. You will also learn how to implement real-time streaming of data from an application running in your enterprise to BigQuery, which will help you accomplish your vision of real-time reporting.

In addition, all the code samples in this book are available in Packt's GitHub account. This book also provides tips, best practices, and mistakes to avoid when working with Google BigQuery and services that interact with it. We hope this book helps you to move your data to Google BigQuery and develop your envisioned reporting and analytics solutions to unleash the power of data. Any updates to this book will be automatically made available to you by the Packt platform.

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