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Hadoop In 24 Hours Sams Teach Yourself at Meripustak

Hadoop In 24 Hours Sams Teach Yourself by Jeffrey Aven, PEARSON INDIA

Books from same Author: Jeffrey Aven

Books from same Publisher: PEARSON INDIA

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  • General Information  
    Author(s)Jeffrey Aven
    PublisherPEARSON INDIA
    ISBN9789352866571
    Pages496
    BindingSoftbound
    LanguageEnglish
    Publish YearFebruary 2018

    Description

    PEARSON INDIA Hadoop In 24 Hours Sams Teach Yourself by Jeffrey Aven

    Apache Hadoop is the technology at the heart of the Big Data revolution and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, students can learn all the skills and techniques they'll need to deploy each key component of a Hadoop platform in a local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping students master all of Hadoop's essentials and extend it to meet real-world challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this and much more: Features Covers all aspects of the Hadoop platform, its interfaces and its key ecosystem components and associated Big Data technologies Shows how to build Hadoop solutions step by step, with all samples available for download Teaches through practical instructions, realistic examples, hands-on workshops, Q-and-As, quizzes, exercises, tips and more Table of Contents Hour 1: Introduction to Hadoop Hour 2: Understanding the Hadoop Distributed File System (HDFS) Hour 3: Getting Data into Hadoop Hour 4: Understanding Data Processing in Hadoop Hour 5: Map Reduce Programming in Java Hour 6: Advanced Map Reduce API Concepts Hour 7: Introduction to Apache Pig Hour 8: Advanced Pig Usage Hour 9: Introduction to Apache Hive Hour 10: Advanced Hive Usage Hour 11: YARN Administration Hour 12: SQL on Hadoop Overview Hour 13: the Hadoop Ecosystem Hour 14: Cluster Management using Apache Ambari Hour 15: Scaling Hadoop Hour 16: Advanced Cluster Configuration Hour 17: the Hadoop User Environment (HUE) Hour 18: Advanced HDFS Hour 19: Securing Hadoop Hour 20: Troubleshooting Hadoop Hour 21: Integrating Hadoop into the Enterprise Hour 22: Hadoop in the Cloud Hour 23: Introduction to NoSQL Hour 24: Introduction to Apache Spark.



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