This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You'll learn how to architect clusters that work with cloud-provider featuresnot just to avoid pitfalls, but also to take full advantage of these serv
Moving Hadoop to the cloud: harnessing cloud features and flexibility for Hadoop clusters
β Scribed by Havanki, Bill
- Publisher
- O'Reilly
- Year
- 2017
- Tongue
- English
- Leaves
- 336
- Edition
- First edition, first release
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You'll learn how to architect clusters that work with cloud-provider featuresnot just to avoid pitfalls, but also to take full advantage of these serv
Up until recently, Hadoop deployments have existed on hardware owned and run by organizations, often alongside legacy βbig-ironβ hardware. Today, cloud service providers allow customers to effectively rent hardware and associated network connectivity, along with a variety of other features like data
Up until recently, Hadoop deployments have existed on hardware owned and run by organizations, often alongside legacy "big-iron" hardware. Today, cloud service providers allow customers to effectively rent hardware and associated network connectivity, along with a variety of other features like data
<b>Learn how to configure your Hadoop cluster to run optimal MapReduce jobs</b><h2>About This Book</h2><ul> <li>Optimize your MapReduce job performance</li> <li>Identify your Hadoop cluster's weaknesses</li> <li>Tune your MapReduce configuration</li> </ul><h2>Who This Book Is For</h2><p>If you are a
<p>Construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently </p> <p><b>Overview</b></p> <ul> <li>Choose the hardware and Hadoop distribution that best suits your needs</li> <li>Get more value out of your Hadoop cluster with Hive, Impala, and Sqoo