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Avkash Chauhan - Learning Cloudera Impala

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Avkash Chauhan Learning Cloudera Impala
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Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala
Overview
Step-by-step guidance to get you started with Impala on your Hadoop cluster
Manipulate your data rapidly by writing proper SQL statements
Explore the concepts of Impala security, administration, and troubleshooting in detail to maintain your Impala cluster
In Detail
If you have always wanted to crunch billions of rows of raw data on Hadoop in a couple of seconds, then Cloudera Impala is the number one choice for you. Cloudera Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase. In addition to using the same unified storage platform, Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface (Hue Beeswax) as Apache Hive. This provides a familiar and unified platform for batch-oriented or real-time queries.
In this practical, example-oriented book, you will learn everything you need to know about Cloudera Impala so that you can get started on your very own project. The book covers everything about Cloudera Impala from installation, administration, and query processing, all the way to connectivity with other third party applications. With this book in your hand, you will find yourself empowered to play with your data in Hadoop.
As a reader of this book, you will learn about the origin of Impala and the technology behind it that allows it to run on thousands of machines. You will learn how to install, run, manage, and troubleshoot Impala in your own Hadoop cluster using the step-by-step guidance provided in the book. The book covers tenets of data processing such as loading data stored in Hadoop into Impala tables and querying data using Impala SQL statements, all with various code illustrations and a real-world example.
The book is written to get you started with Impala by providing rich information so you can understand what Impala is, what it can do for you, and finally how you can use it to achieve your objective.
What you will learn from this book
Understand the various ways of installing Impala in your Hadoop cluster
Use the Impala shell API to interact with Impala components
Utilize Impala Query Language and built-in functions to play with data
Administrate and fine-tune Impala for high availability
Identify and troubleshoot problems in a variety of ways
Get acquainted with various input data formats in Hadoop and how to use them with Impala
Comprehend how third party applications can connect with Impala to provide data visualization and various other enhancements
Approach
This book is an easy-to-follow, step-by-step tutorial where each chapter takes your knowledge to the next level. The book covers practical knowledge with tips to implement this knowledge in real-world scenarios. A chapter with a real-life example is included to help you understand the concepts in full.
Who this book is written for
Using Cloudera Impala is for those who really want to take advantage of their Hadoop cluster by processing extremely large amounts of raw data in Hadoop at real-time speed. Prior knowledge of Hadoop and some exposure to HIVE and MapReduce is expected.

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Learning Cloudera Impala

Learning Cloudera Impala

Copyright 2013 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: December 2013

Production Reference: 1181213

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78328-127-5

www.packtpub.com

Cover Image by Vivek Sinha (<>)

Credits

Author

Avkash Chauhan

Reviewers

Salman Ahmed

Charles Menguy

Acquisition Editors

Pramila Balan

Joanne Fitzpatrick

Commissioning Editor

Sharvari Tawde

Technical Editors

Kapil Hemnani

Faisal Siddiqui

Copy Editors

Alisha Aranha

Roshni Banerjee

Mradula Hegde

Dipti Kapadia

Aditya Nair

Deepa Nambiar

Adithi Shetty

Project Coordinator

Sherin Padayatty

Proofreader

Lawrence A. Herman

Indexer

Monica Ajmera Mehta

Graphics

Ronak Dhruv

Yuvraj Mannari

Production Coordinator

Arvindkumar Gupta

Cover Work

Arvindkumar Gupta

About the Author

Avkash Chauhan is a software technology veteran with more than 12 years of industry experience in various disciplines such as embedded engineering, cloud computing, big data analytics, data processing, and data visualization. He has an extensive global work experience with Fortune 100 companies worldwide. He has spent the last eight years at Microsoft before moving on to Silicon Valley to work with a big data and analytics start-up. He started his career as an embedded engineer; and during his eight-year long gig at Microsoft, he worked on Windows CE, Windows Phone, Windows Azure, and HDInsight. He spent several years working with the Windows Azure team to develop world-class cloud technology, and his last project was Apache Hadoop on Windows Azure, also known as HDInsight. He worked on the HDInsight project since its incubation at Microsoft, and helped its early development and then deployment on cloud. For the past three years, he has been working on big data- and Hadoop-related technologies by developing applications to make Hadoop easy to use for large- and mid-market companies. He is a prolific blogger and very active on the social networking sites. You can directly contact him through the following:

  • LinkedIn : https://www.linkedin.com/in/avkashchauhan
  • Blog : http://cloudcelebrity.wordpress.com/
  • Twitter : @avkashchauhan

I would like to thank my wife, two little kids, family, and friends for their continuous love and immense support in completing this book.

About the Reviewer

Charles Menguy is a software engineer working in New York City for Adobe Systems, whose primary focus is dealing with enormous amounts of data. He holds a Master's degree in Computer Science, with a major in Artificial Intelligence. He is passionate about all things related to big data, data science, and cloud computing. As a certified Hadoop developer from Cloudera, he has been working with various technologies in the Hadoop stack. He contributes back to the community by being an avid user of StackOverflow.

You can add him to your LinkedIn contacts at .

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Preface

The changing landscape of Big Data and tools created for a relevant understanding of it have become very crucial in today's tech industry. The ability to understand and familarize with such tools allow individuals to creatively and intelligently take decisions with precision. If you've always wanted to crunch billions of rows of raw data on Hadoop in a couple of seconds, Cloudera Impala is, hands down, the top choice for you. Cloudera Impala provides a way to ingest various formats of data stored on Hadoop and provides a query engine to process it for gaining extremely important insight.

In this book, Learning Cloudera Impala , you are going to learn everything you need to know about Cloudera Impala so that you can start your project. The book covers Cloudera Impala from installation, administration, and query processing, all the way up to connectivity with other third-party applications. With this book in your hand, you will find yourself empowered to play with your data in Hadoop, and getting insight from your data will look like an interesting game to you.

What this book covers

, Getting Started with Impala , covers information on Impala, its core components, and its inner workings in details. We will cover the Impala execution architecture, including daemon and statestore, and how they interact together with the other components. Impala metadata and metastore are also discussed here to explain how Impala maintains its information. Finally, we will study various ways to interface Impala.

, The Impala Shell Commands and Interface , explains the various command options to interact with Impala, mainly using command-line references. In this chapter, we have covered the Impala command-line interface, explaining various ways Impala shell can connect to Impala daemon. Once the connection between Impala shell and

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