BigQuery for Data Warehousing: Managed Data Analysis in the Google Cloud. Questo articolo non è disponibile.
Lingua: inglese
Editore: APress, 2020
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Codice articolo B9781484261859
- Titolo
- BigQuery for Data Warehousing: Managed Data Analysis in the Google Cloud
- Autore
- Mark Mucchetti
- Editore
- APress
- Anno di pubblicazione
- 2020
- Condizione
- New
- Rilegatura
- Paperback / softback
- Lingua
- inglese
- ISBN 10
- 1484261852
- ISBN 13
- 9781484261859
- Peso dell'articolo
- 1060 grammi
Create a data warehouse, complete with reporting and dashboards using Googles 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.
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.
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Informazioni sull’autore
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 organizations ability to succeed, and wants to bring that knowledge to the world in a people-first way.
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