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Hadoop

shinelogics-sap-hadoop

Hadoop Development


Week Topics
1
    Hadoop Course Objective Summary for Developers
  • Introduction to Big Data and Analytics
  • Introduction to Hadoop
  • Hadoop ecosystem-Concepts
  • Hadoop Map-reduce Applications
  • Pig concepts, Hive concepts, Sqoop concepts, Flume concepts
  • Oozie workflow concepts, HBASE concepts
  • Zookeeper concepts
2
    Hadoop
  • Why Hadoop?
  • Scalling
  • Distributed Framework
  • Hadoop v/s RDBMS
  • Brief history of hadoop
  • Problems with traditional large-scale systemss
  • Requirements for a new approach
3
    Set up hadoop
  • Pseudo mode,Cluster mode
  • SSH
  • Installation of java,hadoop
  • Configurations of hadoop
  • Hadoop Processes(NN,SNN,JT,DN,TT)
  • Temporary directory
  • UI
4
    HDFS-Hadoop distributed File System
  • HDFS Design and Architecture
  • HDFS Concepts
  • Interacting HDFS using command line
  • Interacting HDFS using Java APIS
  • Dataflow ,Blocks, Replica
5
    Hadoop processes
  • Name node
  • Secondary name node
  • Job tracker
  • Task tracker
  • Data node
6
    Basic Concepts
  • An Overview of Hadoop
  • The Hadoop Distributed File Systeme
  • Hands-On Exercise
  • Anatomy of a Hadoop Cluster
  • Other Hadoop Ecosystem Components
7
    Map Reduce
  • Developing Map Reduce Application
  • Phases in Map Reduce Framework
  • Map Reduce Input and Output Formats
  • Advanced Concepts
  • Sample Applications
  • Combiner
8
    Writing a MapReduce Program
  • The MapReduce Flow
  • Examing a Sample MapReduce Program
  • Basic MapReduce API Concepts
  • The Driver Code
  • The Mapper & Reducer
  • Hadoop's Streaming API
  • Developing Map Reduce Application
  • Phases in Map Reduce Framework
  • Combiner & Understanding Input Format
  • Custom Input Format
  • Hadoop Data Types
  • Using Writable and Writable comparable
  • Understanding Output Format
  • Sequence Files, Distributed Cache, Reduce Side Join
  • Map Side Join, Map Side Join, Distributed join
  • Write your own partitioner
9
    HIVE
  • What is Hive
  • Hive DDL-create /show/Drop Database
  • Hive DDL-Create/show/Drop tables
  • Hive DML-Load Files into tables
  • Hive DML-Inserting Data into Tables
  • Hive SQL-Select, Filter,Join, Group By
  • Hive Architecture & Components
  • Hive Data Model and Data units
  • Difference between Hive and RDBMS
  • Multi-Table Inserts
  • Joins, Grouping Sets,Cubes, Rollups
  • Custom Map and Reduce scripts
  • Hive UDF, Hive UDAF
10
    PIG
  • Basics
  • Installation and configurations
  • Commands
  • Data loading in PIG
  • Data Extraction in PIG
  • Data Transformation in PIG
  • Hands on exercise on PIG
11
    SQOOP
  • Introduction
  • Import data & Export data
  • Sqoop Syntax , Databases connection, Hands-on exercise
  • Flume
  • Introduction
  • Configuration and setup
  • Flume Sink with example
  • Channel
  • Flume source with example
12
    OOZIE
  • Introduction
  • Configuration and Setup
  • Simple/complex Flow
  • Servicce/Scheduler
  • ZooKeeper
  • What is ZooKeeper ?, Who is using it ?
  • ZooKeeper Data Model
  • ZNode versions, ZooKeeper API
  • Standalone/Clustered mode
  • Installing and Configuring
  • Running Zookeeper
13
    HBase
  • When/why to use HBase
  • HBase Architecture/Storage
  • HBase Features, HBase Data Model
  • HBase Families, Terms and Daemons
  • HBase Master
  • HBase vs RDBMS
  • Column Families
  • Access, HBase API
  • Runtime modes
  • Running HBase

Trainer Information

Trainer Name Experience Working In
Subrmanya 12 years MNC

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