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Mastering Hadoop 3 by Chanchal Singh & Manish Kumar
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Mastering Hadoop 3 by Chanchal Singh & Manish Kumar
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Mastering Hadoop 3 by Chanchal Singh & Manish Kumar

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    Specificaties

    Objectstaat
    Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
    Subjects
    Computer & IT
    Field of Study
    Computer & IT
    Features
    NA
    Regional Cuisine
    NA
    ISBN
    9781788620444

    Over dit product

    Product Identifiers

    Publisher
    Packt Publishing, The Limited
    ISBN-10
    1788620445
    ISBN-13
    9781788620444
    eBay Product ID (ePID)
    14038548482

    Product Key Features

    Number of Pages
    544 Pages
    Language
    English
    Publication Name
    Mastering Hadoop 3 : Big Data Processing at Scale to Unlock Unique Business Insights
    Publication Year
    2019
    Subject
    Data Modeling & Design, Client-Server Computing, Data Processing, Databases / Data Warehousing
    Type
    Textbook
    Subject Area
    Computers
    Author
    Manish Kumar, Chanchal Singh
    Format
    Trade Paperback

    Dimensions

    Item Length
    3.6 in
    Item Width
    3 in

    Additional Product Features

    Intended Audience
    Trade
    Table Of Content
    Table of Contents Journey to Hadoop 3 Deep Dive into Hadoop Distributed File System YARN Resource Management in Hadoop Internals of Map Reduce SQL on Hadoop Real Time Processing Engines Widely used Hadoop Ecosystem Component Designing Applications in Hadoop Real Time/Micro Batch Processing in Hadoop Machine Learning in Hadoop Hadoop in Cloud Hadoop Cluster Profiling Who can do What in Hadoop Network and Data Security Monitoring Hadoop
    Synopsis
    This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline, 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 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 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 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 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., 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 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 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 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 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.
    LC Classification Number
    QA76.9.B45

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