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

by Jan Kunigk, Ian Buss, Paul Wilkinson

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 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 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 ITTaking Hadoop to the Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

Genres: Technology, Computer Science, Programming

636 pages, ebook

Published December 5, 2018

Reviews

[Łukasz Słonina · Rating 5 out of 5]

Great book around Hadoop cluster design.
It's not about application architecture, but still mandatory for Big Data applications architects and developers.

[Matúš · Rating 5 out of 5]

Good and comprehensive guide to Hadoop architecture. Some of the first chapters are diving really deep into architecting own cluster. I would welcome similar deep dive into automating and provisioning of Hadoop clusters, because there is only brief introduction to this topics. After all, this book provides excellent overview of Hadoop best practices and I would recomment it for everyone, newcommers as well as experienced Hadoop architects .

[Arash Amani]

as a whole it's was so boring for me as Data Scientist but some chapters were useful for me especially the test section.
I currently manage a Hadoop cluster and with read this book I Understood that my Problems & Solution document is the greatest act that I have done. I have renamed the document to Playbook and Postmortem based on this title I saw in this book.

[Mikhail · Rating 5 out of 5]

Название книги отлично отражает содержание. Книгу стоит в обязательном порядке прочитать тем, кто ра6со стеком Hadoop: архитекторам, системным инженерам и администраторам, продвинутым дата инженерам.

[Lolo · Rating 4 out of 5]

An amazing book about big data architecture. A lot of complex info about the hadoop ecosystem gathered in this book.

[Tuyen Huynh · Rating 5 out of 5]

An excellent explanation on how Hadoop and its ecosystem work

[Pranab · Rating 4 out of 5]

Simple to read. Took over a new role in 2020 and this helped in expanding my thought process.

[Craig Nicol · Rating 4 out of 5]

Great in depth advice from the CPU and RAM level right up to cloud providers, helping architects to understand the tradeoffs for the expected workloads.