Free Ebook Mastering Hadoop, by Sandeep Karanth
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Mastering Hadoop, by Sandeep Karanth
Free Ebook Mastering Hadoop, by Sandeep Karanth
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Go beyond the basics and master the next generation of Hadoop data processing platformsAbout This Book
- Learn how to optimize Hadoop MapReduce, Pig and Hive
- Dive into YARN and learn how it can integrate Storm with Hadoop
- Understand how Hadoop can be deployed on the cloud and gain insights into analytics with Hadoop
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.
What You Will Learn- Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0
- Customize and optimize MapReduce jobs in Hadoop 2.0
- Explore Hadoop I/O and different data formats
- Dive into YARN and Storm and use YARN to integrate Storm with Hadoop
- Deploy Hadoop on Amazon Elastic MapReduce
- Discover HDFS replacements and learn about HDFS Federation
- Get to grips with Hadoop's main security aspects
- Utilize Mahout and RHadoop for Hadoop analytics
Hadoop is synonymous with Big Data processing. Its simple programming model, "code once and deploy at any scale" paradigm, and an ever-growing ecosystem makes Hadoop an all-encompassing platform for programmers with different levels of expertise.
This book explores the industry guidelines to optimize MapReduce jobs and higher-level abstractions such as Pig and Hive in Hadoop 2.0. Then, it dives deep into Hadoop 2.0 specific features such as YARN and HDFS Federation.
This book is a step-by-step guide that focuses on advanced Hadoop concepts and aims to take your Hadoop knowledge and skill set to the next level. The data processing flow dictates the order of the concepts in each chapter, and each chapter is illustrated with code fragments or schematic diagrams.
- Sales Rank: #3328420 in Books
- Published on: 2015-02-23
- Released on: 2014-12-29
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .85" w x 7.50" l, 1.41 pounds
- Binding: Paperback
- 398 pages
About the Author
Sandeep Karanth
Sandeep Karanth is a technical architect who specializes in building and operationalizing software systems. He has more than 14 years of experience in the software industry, working on a gamut of products ranging from enterprise data applications to newer-generation mobile applications. He has primarily worked at Microsoft Corporation in Redmond, Microsoft Research in India, and is currently a cofounder at Scibler, architecting data intelligence products. Sandeep has special interest in data modeling and architecting data applications. In his area of interest, he has successfully built and deployed applications, catering to a variety of business use cases such as vulnerability detection from machine logs, churn analysis from subscription data, and sentiment analyses from chat logs. These applications were built using next generation big data technologies such as Hadoop, Spark, and Microsoft StreamInsight and deployed on cloud platforms such as Amazon AWS and Microsoft Azure. Sandeep is also experienced and interested in areas such as green computing and the emerging Internet of Things. He frequently trains professionals and gives talks on topics such as big data and cloud computing. Sandeep believes in inculcating skill-oriented and industry-related topics in the undergraduate engineering curriculum, and his talks are geared with this in mind. Sandeep has a Master's degree in Computer and Information Sciences from the University of Minnesota, Twin Cities. Sandeep's twitter handle is @karanths. His GitHub profile is https://github.com/Karanth, and he writes technical snippets at https://gist.github.com/Karanth.
Most helpful customer reviews
0 of 0 people found the following review helpful.
this book is definitely recommended for both beginner and intermediate users
By vj
this book is definitely recommended for both beginner and intermediate users. It got example showing the workings of various Hadoop ecosystem YARN, PIG, Hive Storm to name some. There are lots of good examples in the book with code. Of-course some readers might find it unnecessary to have the code printed in the book taking up space, but for me its a plus.
0 of 0 people found the following review helpful.
Great Book with Excellent flow for topics.
By Gurmukh
Very well written with simplistic flow. It is great book for beginners as well as intermediate users, who want to learn Hadoop is a logical manner, with right understanding rather then cramming things. The example and the code snippets are a head start to get things started.
0 of 0 people found the following review helpful.
Good Intermediate Level Book for Hadoop
By Sumit Pal
This is a pretty well written book both in terms of content, the way the author has put forth the concepts and general organization of the book.
The content is pretty exhaustive - however this is not a starter book, it is more at the intermediate / expert level. The content of the book shows that the author knows the stuff and has experience working with Hadoop and the intricacies of it.
I would recommend it to intermediate level Hadoop Developers to have a look at the book
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