Architecting modern data platforms : a guide to enterprise Hadoop at scale / Jan Kunigk [and three others].

Format:

Book

Author/Creator:

Kunigk, Jan, author.

Buss, Ian, author.

Wilkinson, Paul, author.

George, Lars, author.

Language:

English

Subjects (All):

Apache Hadoop.

Electronic data processing--Distributed processing.

Electronic data processing.

File organization (Computer science).

Physical Description:

1 online resource (728 pages)

Edition:

First edition.

Place of Publication:

Beijing : O'Reilly, [2019]

System Details:

text file

Summary:

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

Notes:

Description based on print version record.

Includes index.

ISBN:

9781491969267

1491969261

9781491969229

1491969229

9781491969243

1491969245

OCLC:

1164094728