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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Location: Matraville, NSW
End Time: 2024-11-06T01:44:08.000Z
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Return shipping will be paid by: Buyer
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EAN: 9781491969274
UPC: 9781491969274
ISBN: 9781491969274
MPN: N/A
Number of Pages: 633 Pages
Publication Name: Architecting Modern Data Platforms : a Guide to Enterprise Hadoop at Scale
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 1.5 in
Publication Year: 2019
Subject: Systems Architecture / Distributed Systems & Computing, Client-Server Computing, Data Processing, Databases / Data Mining, Databases / General
Type: Textbook
Item Weight: 38.2 Oz
Item Length: 9.2 in
Subject Area: Computers
Author: Jan Kunigk, Lars George, Ian Buss, Paul Wilkinson
Item Width: 7 in
Format: Trade Paperback
