Mastering Hadoop 3 Mastering Hadoop 3

Mastering Hadoop 3

Big data processing at scale to unlock unique business insights

    • $38.99
    • $38.99

Publisher Description

A comprehensive guide to mastering the most advanced Hadoop 3 concepts

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

What you will learn
Gain an in-depth understanding of distributed computing using Hadoop 3Develop enterprise-grade applications using Apache Spark, Flink, and moreBuild scalable and high-performance Hadoop data pipelines with security, monitoring, and data governanceExplore batch data processing patterns and how to model data in HadoopMaster best practices for enterprises using, or planning to use, Hadoop 3 as a data platformUnderstand security aspects of Hadoop, including authorization and authentication
Who this book is 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.

GENRE
Computers & Internet
RELEASED
2019
February 28
LANGUAGE
EN
English
LENGTH
544
Pages
PUBLISHER
Packt Publishing
SELLER
Ingram DV LLC
SIZE
11.4
MB
Modern Big Data Processing with Hadoop Modern Big Data Processing with Hadoop
2018
Big Data with Hadoop MapReduce Big Data with Hadoop MapReduce
2020
Foundations of Data Intensive Applications Foundations of Data Intensive Applications
2021
Learning Apache Apex Learning Apache Apex
2017
Implementing IBM InfoSphere BigInsights on IBM System x Implementing IBM InfoSphere BigInsights on IBM System x
2013
Practical Enterprise Data Lake Insights Practical Enterprise Data Lake Insights
2018