Shiva Achari - Hadoop Essentials
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This book jumps into the world of Hadoop ecosystem components and its tools in a simplified manner, and provides you with the skills to utilize them effectively for faster and effective development of Hadoop projects.
Starting with the concepts of Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also get acquainted with many Hadoop ecosystem components tools such as Hive, HBase, Pig, Sqoop, Flume, Storm, and Spark.
By the end of the book, you will be confident to begin working with Hadoop straightaway and implement the knowledge gained in all your real-world scenarios.
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Copyright 2015 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2015
Production reference: 1240415
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78439-668-8
www.packtpub.com
Author
Shiva Achari
Reviewers
Anindita Basak
Ralf Becher
Marius Danciu
Dmitry Spikhalskiy
Commissioning Editor
Sarah Crofton
Acquisition Editor
Subho Gupta
Content Development Editor
Rahul Nair
Technical Editor
Bharat Patil
Copy Editors
Hiral Bhat
Charlotte Carneiro
Puja Lalwani
Sonia Mathur
Kriti Sharma
Sameen Siddiqui
Project Coordinator
Leena Purkait
Proofreaders
Simran Bhogal
Safis Editing
Linda Morris
Indexer
Priya Sane
Graphics
Sheetal Aute
Jason Monteiro
Production Coordinator
Komal Ramchandani
Cover Work
Komal Ramchandani
Shiva Achari has over 8 years of extensive industry experience and is currently working as a Big Data Architect consultant with companies such as Oracle and Teradata. Over the years, he has architected, designed, and developed multiple innovative and high-performance large-scale solutions, such as distributed systems, data centers, big data management tools, SaaS cloud applications, Internet applications, and Data Analytics solutions.
He is also experienced in designing big data and analytics applications, such as ingestion, cleansing, transformation, correlation of different sources, data mining, and user experience in Hadoop, Cassandra, Solr, Storm, R, and Tableau.
He specializes in developing solutions for the big data domain and possesses sound hands-on experience on projects migrating to the Hadoop world, new developments, product consulting, and POC. He also has hands-on expertise in technologies such as Hadoop, Yarn, Sqoop, Hive, Pig, Flume, Solr, Lucene, Elasticsearch, Zookeeper, Storm, Redis, Cassandra, HBase, MongoDB, Talend, R, Mahout, Tableau, Java, and J2EE.
He has been involved in reviewing Mastering Hadoop , Packt Publishing .
Shiva has expertise in requirement analysis, estimations, technology evaluation, and system architecture along with domain experience in telecoms, Internet applications, document management, healthcare, and media.
Currently, he is supporting presales activities such as writing technical proposals (RFP), providing technical consultation to customers, and managing deliveries of big data practice groups in Teradata.
He is active on his LinkedIn page at http://in.linkedin.com/in/shivaachari/.
I would like to dedicate this book to my family, especially my father, mother, and wife. My father is my role model and I cannot find words to thank him enough, and I'm missing him as he passed away last year. My wife and mother have supported me throughout my life. I'd also like to dedicate this book to a special one whom we are expecting this July. Packt Publishing has been very kind and supportive, and I would like to thank all the individuals who were involved in editing, reviewing, and publishing this book. Some of the content was taken from my experiences, research, studies, and from the audiences of some of my trainings. I would like to thank my audience who found the book worth reading and hope that you gain the knowledge and help and implement them in your projects.
Anindita Basak is working as a big data cloud consultant and trainer and is highly enthusiastic about core Apache Hadoop, vendor-specific Hadoop distributions, and the Hadoop open source ecosystem. She works as a specialist in a big data start-up in the Bay area and with fortune brand clients across the U.S. She has been playing with Hadoop on Azure from the days of its incubation (that is, www.hadooponazure.com). Previously in her role, she has worked as a module lead for Alten Group Company and in the Azure Pro Direct Delivery group for Microsoft. She has also worked as a senior software engineer on the implementation and migration of various enterprise applications on Azure Cloud in the healthcare, retail, and financial domain. She started her journey with Microsoft Azure in the Microsoft Cloud Integration Engineering (CIE) team and worked as a support engineer for Microsoft India (R&D) Pvt. Ltd.
With more than 7 years of experience with the Microsoft .NET, Java, and the Hadoop technology stack, she is solely focused on the big data cloud and data science. She is a technical speaker, active blogger, and conducts various training programs on the Hortonworks and Cloudera developer/administrative certification programs. As an MVB, she loves to share her technical experience and expertise through her blog at http://anindita9.wordpress.com and http://anindita9.azurewebsites.net. You can get a deeper insight into her professional life on her LinkedIn page, and you can follow her on Twitter. Her Twitter handle is @imcuteani.
She recently worked as a technical reviewer for HDInsight Essentials (volume I and II) and Microsoft Tabular Modeling Cookbook , both by Packt Publishing.
Ralf Becher has worked as an IT system architect and data management consultant for more than 15 years in the areas of banking, insurance, logistics, automotive, and retail.
He is specialized in modern, quality-assured data management. He has been helping customers process, evaluate, and maintain the quality of the company data by helping them introduce, implement, and improve complex solutions in the fields of data architecture, data integration, data migration, master data management, metadata management, data warehousing, and business intelligence.
He started working with big data on Hadoop in 2012. He runs his BI and data integration blog at http://irregular-bi.tumblr.com/.
Marius Danciu has over 15 years of experience in developing and architecting Java platform server-side applications in the data synchronization and big data analytics fields. He's very fond of the Scala programming language and functional programming concepts and finding its applicability in everyday work. He is the coauthor of The Definitive Guide to Lift , Apress .
Dmitry Spikhalskiy is currently holding the position of a software engineer at the Russian social network, Odnoklassniki, and working on a search engine, video recommendation system, and movie content analysis.
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