Book Image

Mastering Hadoop

By : Karanth
Book Image

Mastering Hadoop

By: Karanth

Overview of this book

Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.
Table of Contents (15 chapters)
14
Index

Appendix A. Hadoop for Microsoft Windows

Traditionally, Hadoop has been supported on Unix-based operating systems. Installation on Microsoft Windows was tedious and not consistent. It involved installing Unix-based emulators such as Cygwin and carrying out installation steps similar to Hadoop installations on Unix systems. Other alternatives were to run a Linux virtual machine on Windows hosts and install Hadoop on them. But Hadoop was still not natively available on the Microsoft Windows operating system until Hadoop 2.0 arrived.

With all major players moving into the cloud, the Hadoop as a Service (HaaS) offering is becoming popular. It offers an easy and cost-efficient way of analyzing big data on the cloud. Microsoft also joined the cloud bandwagon with the Azure suite of services on the cloud. The Microsoft Azure cloud not only supports Linux Virtual Machines, but also provides Hadoop as a service. Players such as Hortonworks collaborated with Microsoft to bring Hadoop to...