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Mastering Hadoop 3

You're reading from Mastering Hadoop 3

Product type Book

Published in Feb 2019

Publisher Packt

ISBN-13 9781788620444

Pages 544 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Authors (2):

Chanchal Singh

Manish Kumar

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Table of Contents (23) Chapters

Title Page

Dedication

About Packt

Foreword

Contributors

Preface

Journey to Hadoop 3

Deep Dive into the Hadoop Distributed File System

YARN Resource Management in Hadoop

Internals of MapReduce

SQL on Hadoop

Real-Time Processing Engines

Widely Used Hadoop Ecosystem Components

Designing Applications in Hadoop

Real-Time Stream Processing in Hadoop

Machine Learning in Hadoop

Hadoop in the Cloud

Hadoop Cluster Profiling

Who Can Do What in Hadoop

Network and Data Security

Monitoring Hadoop

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Index

Impala

Impala is a modern, open source massive parallel processing (MPP) SQL engine designed to work with a Hadoop environment. It provides the ability to execute queries with low latency. Hive does not meet the expectation for use cases requiring interactive analytics in a multi-user environment. Impala is integrated into the Hadoop environment and uses a number of standard Hadoop components such as Metastore, HDFS, HBase, YARN, and Sentry. Unlike hive, it does not run MapReduce jobs to get results. Hive uses the MapReduce engine for execution and the intermediate output results are stored on disk, which acts as an input to another job.

Impala architecture

Impala is a massive parallel processing (MPP) distributed query execution engine. It utilizes the resources of an existing Hadoop cluster. It does not use MapReduce. However, it utilizes the data locality feature of Hadoop processing. Let's discuss the Impala architecture and its components in detail.

The following diagram shows the Impala...

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Authors (2)

Chanchal Singh

Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.

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Manish Kumar

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).

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