Architecting modern data platforms : a guide to enterprise Hadoop at scale
著者
書誌事項
Architecting modern data platforms : a guide to enterprise Hadoop at scale
O'Reilly, 2018
- : pbk
大学図書館所蔵 全1件
注記
Includes index
Copyright: 2019
Other authors: Ian Buss, Paul Wilkinson and Lars George
内容説明・目次
内容説明
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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