BigQuery for Data Warehousing

Managed Data Analysis in the Google Cloud

Authors: Mucchetti, Mark

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  • Explains how to load or stream your business data into BigQuery
  • Suggests innovative ways to engage with business stakeholders for the long run
  • Provides suggestions for enhancement of data analysis via machine learning
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eBook $34.99
price for USA
  • ISBN 978-1-4842-6186-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA
  • ISBN 978-1-4842-6185-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

Create a data warehouse, complete with reporting and dashboards using Google’s BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization.
BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities. Part I of this book shows you how to design and provision a data warehouse in the BigQuery platform. Part II teaches you how to load and stream your operational data into the warehouse to make it ready for analysis and reporting. Parts III and IV cover querying and maintaining, helping you keep your information relevant with other Google Cloud Platform services and advanced BigQuery. Part V takes reporting to the next level by showing you how to create dashboards to provide at-a-glance visual representations of your business situation. Part VI provides an introduction to data science with BigQuery, covering machine learning and Jupyter notebooks.

What You Will Learn

  • Design a data warehouse for your project or organization
  • Load data from a variety of external and internal sources
  • Integrate other Google Cloud Platform services for more complex workflows
  • Maintain and scale your data warehouse as your organization grows
  • Analyze, report, and create dashboards on the information in the warehouse
  • Become familiar with machine learning techniques using BigQuery ML

Who This Book Is For
Developers who want to provide business users with fast, reliable, and insightful analysis from operational data, and data analysts interested in a cloud-based solution that avoids the pain of provisioning their own servers.

About the authors

Mark Mucchetti is an industry technology leader in healthcare and ecommerce. He has been working with computers and writing software for over 30 years, starting with BASIC and Turbo C on an Intel 8088 and now using Node.js in the cloud. He has been building and managing technology groups for much of that time, combining his deep love of technical topics with his management skills to create world-class platforms. Mark has also worked in databases, release engineering, front- and back-end coding, and project management. He believes that the best decisions are made with the best data available, and that BigQuery is a great technology to increase the value and accessibility of data for business leaders on a day-to-day basis. He has seen the transformation that accurate, timely data has on an organization’s ability to succeed, and wants to bring that knowledge to the world in a people-first way.

Table of contents (23 chapters)

Table of contents (23 chapters)

Buy this book

eBook $34.99
price for USA
  • ISBN 978-1-4842-6186-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA
  • ISBN 978-1-4842-6185-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
BigQuery for Data Warehousing
Book Subtitle
Managed Data Analysis in the Google Cloud
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Mark Mucchetti
eBook ISBN
978-1-4842-6186-6
DOI
10.1007/978-1-4842-6186-6
Softcover ISBN
978-1-4842-6185-9
Edition Number
1
Number of Pages
XXXV, 525
Number of Illustrations
99 b/w illustrations
Topics