Dayong Du - Apache Hive Essentials
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Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
About This Book- Discover how Hive can coexist and work with other tools in the Hadoop ecosystem to create big data solutions
- Grasp the skills needed, learn the best practices, and avoid the pitfalls in writing efficient Hive queries to analyze the big data
- Create an environment to analyze big data using practical, example-oriented scenarios
If you are a data analyst, developer, or simply someone who wants to use Hive to explore and analyze data in Hadoop, this is the book for you. Whether you are new to big data or an expert, with this book, you will be able to master both the basic and the advanced features of Hive. Since Hive is an SQL-like language, some previous experience with the SQL language and databases is useful to have a better understanding of this book.
What You Will Learn- Create and set up the Hive environment
- Discover how to use Hives definition language to describe data
- Discover interesting data by joining and filtering datasets in Hive
- Transform data by using Hive sorting, ordering, and functions
- Aggregate and sample data in different ways
- Boost Hive query performance and enhance data security in Hive
- Customize Hive to your needs by using user-defined functions and integrate it with other tools
In this book, we prepare you for your journey into big data by firstly introducing you to backgrounds in the big data domain along with the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skill in using the Hive language in an efficient manner. Towards the end, the book focuses on advanced topics such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey.
By the end of the book, you will be familiar with Hive and able to work efficiently to find solutions to big data problems.
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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: February 2015
Production reference: 1210215
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78355-857-5
www.packtpub.com
Author
Dayong Du
Reviewers
Puneetha B M
Hamzeh Khazaei
Nitin Pradeep Kumar
Balaswamy Vaddeman
Commissioning Editor
Ashwin Nair
Acquisition Editor
Shaon Basu
Content Development Editor
Merwyn D'souza
Technical Editor
Taabish Khan
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Cover Work
Aparna Bhagat
Dayong Du is a big data practitioner, leader, and developer with expertise in technology consulting, designing, and implementing enterprise big data solutions. With more than 10 years of experience in enterprise data warehouse, business intelligence, and big data and analytics, he has provided his data intelligence expertise in various industries, such as media, travel, telecommunications, and so on. He is currently working with QuickPlay Media in Toronto, Canada, to build enterprise big data intelligence reporting for online media services and content providers. He has a master's degree in computer science from Dalhousie University, and he holds the Cloudera Certified Developer for Apache Hadoop certification.
I would like to sincerely thank my wife, Joice, and daughter, Elaine, for their sacrifices and encouragement during this journey. Also, I would like to thank my parents for their support during the time of writing this book.
I would also like to thank everyone at Packt Publishing and the technical reviewers for their valuable help, guidance, and feedback on my book.
Puneetha B M is a software engineer, data enthusiast, and technical blogger. Her research interests include big data, cloud computing, machine learning, and NoSQL databases. She is also a professional software engineer with more than 2 years of working experience. She holds a master's degree in computer applications from P.E.S. Institute of Technology. Other than programming, she enjoys painting and listening to music. You can learn more from her blog (http://blog.puneethabm.in/) and LinkedIn profile (https://www.linkedin.com/in/puneethabm).
I owe a great deal to Prof. Dr. Ram Rustagi for being a role model in my life and for his zealous inspiration. I would like to thank my brother, Nischith B.M., for supporting me in everything I do. I would also like to thank Packt Publishing and its staff for providing the opportunity to contribute to this book.
Hamzeh Khazaei is a postdoctoral research scientist at IBM Canada Research and Development Centre. He received his PhD degree in computer science from University of Manitoba, Winnipeg, Manitoba, Canada (20092012). Earlier, he received both his BSc and MSc degrees in computer science from Amirkabir University of Technology, Tehran, Iran (20002008). He is also a sessional instructor in the Computer Science department at Ryerson University (http://scs.ryerson.ca/~hkhazaei). He teaches software engineering to fourth year undergraduate students. His research area includes big data analytics, cloud computing infrastructure, analytics as a service, and modeling of computing systems.
I would like to thank my dear wife for her perpetual support in all my endeavors.
Nitin Pradeep Kumar is a passionate developer with extensive experience and oodles of interest in emerging technologies such as the cloud and mobile. He is currently a cloud quality engineer at Appcelerator, a leading Silicon Valley-based start-up that provides an MBaaS platform purpose-built for mobile and cloud development. Before this stint, he studied at the National University of Singapore toward a master's degree in knowledge engineering, which involves building intelligent systems using cutting-edge artificial intelligence and data-mining techniques. He enjoys the start-up environment and has worked with technologies such as Hadoop, Hive, and data warehousing. He lives in Singapore and spends his spare cycles playing retro PC games on his mobile and learning Muay Thai.
I would like to thank my family, friends, and my wonderful brother, Nivin, for supporting me in all my endeavors.
Balaswamy Vaddeman is a Hadoop hackathon winner for Hyderabad in 2013. He is one of the top contributors on the Hive tag at http://www.stackoverflow.com. He is a big data professional with 3 years of experience. He is well known for training people on big data/Hadoop. So far, he has delivered six big data projects. He is a Java/J2EE expert with 8 years of IT experience and 5 years of RDBMS experience. He is an automation expert on Unix-based systems using Shell scripting. He has experience in setting up teams and bringing them up to speed on big data projects. He is an active participant in Hadoop/big data forums.
I would like to thank my wife, Radha, my son, Pandu, and my daughter, Bubly, for their cooperation in completing this book.
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