9781491969274-149196927X-Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale

Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale

ISBN-13: 9781491969274
ISBN-10: 149196927X
Edition: 1
Author: Kunigk, Jan, Buss, Ian, Wilkinson, Paul, George, Lars
Publication date: 2019
Publisher: O'Reilly Media
Format: Paperback 636 pages
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Book details

ISBN-13: 9781491969274
ISBN-10: 149196927X
Edition: 1
Author: Kunigk, Jan, Buss, Ian, Wilkinson, Paul, George, Lars
Publication date: 2019
Publisher: O'Reilly Media
Format: Paperback 636 pages

Summary

Acknowledged authors Kunigk, Jan, Buss, Ian, Wilkinson, Paul, George, Lars wrote Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale comprising 636 pages back in 2019. Textbook and eTextbook are published under ISBN 149196927X and 9781491969274. Since then Architecting Modern Data Platforms: A Guide to Enterprise Hadoop at Scale textbook was available to sell back to BooksRun online for the top buyback price of $ 10.84 or rent at the marketplace.

Description

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.

Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into:

  • Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise
  • Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT
  • Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability
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