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Intro to Hadoop, BigDataWhat is BigData?Parallel Computer vs. Distributed ComputingBrief history of HadoopRDBMS/SQL vs. ...

  • Category: Language Classes
  • Published: 23/12/2015
  • Current Rating: /5 0 Vote

    Description


    1. Intro to Hadoop, BigData



    • What is BigData?

    • Parallel Computer vs. Distributed Computing

    • Brief history of Hadoop

    • RDBMS/SQL vs. Hadoop

    • Scaling with Hadoop

    • Intro to the Hadoop ecosystem

    • Optimal hardware and network configurations for Hadoop

    • Vendor Comparison

    • Use cases


    LAB #1:  Virtual Machine Setup



    1. HDFS – Hadoop Distributed File System



    • Linux File system options

    • NameNode architecture

    • Secondary NameNode architecture

    • DataNode architecture

    • Heartbeats, Rack Awareness, Health Check

    • Exploring the HDFS Web UI


    LAB #2:  HDFS CMD Line



    1. Beginning MapReduce



    • MapReduce Architecture

    • JobTracker/TaskTracker

    • Combiner

    • Partitioner

    • Shuffle and Sort

    • Exploring the MapReduce Web UI

    • Walkthrough of a simple Java MapReduce example

    • Use case: Word Count in MapReduce


    LAB #3:  Running MapReduce in Java



    1. Advanced MapReduce



    • Data Types and File Formats.

    • Driver, Mapper & Reducer Class Code.

    • Build Map & Reduce programs using Eclipse.

    • Serialization and File-Based Data Structures

    • Input/output formats

    • Counters

    • Run Map Reduce locally and on cluster.


    LAB #4:  Java MapReduce API



    1. Hive for Structured Data



    • Hive architecture

    • Hive vs. RDBMS

    • HiveQL and Hive Shell

    • Managing tables

    • Data types and schemas


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