Sandeep Karanth

Mastering Hadoop (eBook, PDF)

• Format: PDF

Produktbeschreibung

Hadoop is synonymous with Big Data processing. Its simple programming model, "e;code once and deploy at any scale"e; 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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 374
• Erscheinungstermin: 29. Dezember 2014
• Englisch
• ISBN-13: 9781783983650
• Artikelnr.: 56812763

Autorenporträt

Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA. He has BSc and PhD degrees in Computer Science from Queens University Belfast in Northern Ireland, and a Master's degree in Engineering in Systems Engineering from Stevens Institute of Technology in the USA. He is the author of Hadoop Beginners Guide, published by Packt Publishing in 2013, and is a committer on the Apache Samza project. Tanmay Deshpande