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Mastering Hadoop 3
Mastering Hadoop 3

Mastering Hadoop 3: Big data processing at scale to unlock unique business insights

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Mastering Hadoop 3

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Key benefits

  • Get to grips with the newly introduced features and capabilities of Hadoop 3
  • Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem
  • Sharpen your Hadoop skills with real-world case studies and code

Description

Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines.

Who is this book for?

If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

What you will learn

  • Gain an in-depth understanding of distributed computing using Hadoop 3
  • Develop enterprise-grade applications using Apache Spark, Flink, and more
  • Build scalable and high-performance Hadoop data pipelines with security, monitoring, and data governance
  • Explore batch data processing patterns and how to model data in Hadoop
  • Master best practices for enterprises using, or planning to use, Hadoop 3 as a data platform
  • Understand security aspects of Hadoop, including authorization and authentication

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2019
Length: 544 pages
Edition : 1st
Language : English
ISBN-13 : 9781788628327
Vendor :
Apache
Category :
Languages :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Feb 28, 2019
Length: 544 pages
Edition : 1st
Language : English
ISBN-13 : 9781788628327
Vendor :
Apache
Category :
Languages :
Tools :

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Frequently bought together


Stars icon
Total $ 137.97
Apache Hadoop 3 Quick Start Guide
$32.99
Big Data Analytics with Hadoop 3
$43.99
Mastering Hadoop 3
$60.99
Total $ 137.97 Stars icon

Table of Contents

20 Chapters
Section 1: Introduction to Hadoop 3 Chevron down icon Chevron up icon
Journey to Hadoop 3 Chevron down icon Chevron up icon
Deep Dive into the Hadoop Distributed File System Chevron down icon Chevron up icon
YARN Resource Management in Hadoop Chevron down icon Chevron up icon
Internals of MapReduce Chevron down icon Chevron up icon
Section 2: Hadoop Ecosystem Chevron down icon Chevron up icon
SQL on Hadoop Chevron down icon Chevron up icon
Real-Time Processing Engines Chevron down icon Chevron up icon
Widely Used Hadoop Ecosystem Components Chevron down icon Chevron up icon
Section 3: Hadoop in the Real World Chevron down icon Chevron up icon
Designing Applications in Hadoop Chevron down icon Chevron up icon
Real-Time Stream Processing in Hadoop Chevron down icon Chevron up icon
Machine Learning in Hadoop Chevron down icon Chevron up icon
Hadoop in the Cloud Chevron down icon Chevron up icon
Hadoop Cluster Profiling Chevron down icon Chevron up icon
Section 4: Securing Hadoop Chevron down icon Chevron up icon
Who Can Do What in Hadoop Chevron down icon Chevron up icon
Network and Data Security Chevron down icon Chevron up icon
Monitoring Hadoop Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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(1 Ratings)
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4 star 0%
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1 star 0%
SuchRave Mar 14, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Its a wonderful book, giving details about overall ecosystem very well. Kudos!
Amazon Verified review Amazon
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