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HADOOP – DEVELOPER

What is Big Data & Why Hadoop?

  • Big Data Characteristics,
  • Challenges with traditional system

Hadoop Overview

  • Introduction
  • What is Hadoop
  • Hadoop Use cases
  • Hadoop Ecosystem
  • Hadoop Architecture

Hadoop Distributed File Systems

  • Pseudo-Distributed Installation
  • Hadoop Cluster Configuration
  • Namenode Safemode
  • Secondary Namenode
  • Hadoop Filesystem Shell
  • Java API Introduction
  • Configuration
  • Reading Data
  • Writing Data
  • Browsing file system
  • Hands-On Exercise

Hadoop MapReduce

  • Introduce MapReduce framework
  • Setting up Eclipse Development Environment
  • Implement first MapReduce Job
  • Tool, ToolRunner and GenericOptionsParser
  • Running MapReduce Locally
  • Running MapReduce on Cluster
  • Packaging MapReduce Jobs
  • MapReduce CLASSPATH
  • Submitting Jobs
  • Logs and Web UI
  • MapReduce Theory
  • Types of Keys and Values
  • Input and Output Formats
  • Implement a Streaming Job
  • Contrast with Java Code
  • Create counts in Streaming application
  • Workflows Introduction
  • Decomposing Problems into MapReduce Workflow
  • Using JobControl class
  • Debugging and Unit Testing
  • Hands On Exercises

Advanced Mapreduce

  • Combiner
  • Partitioner
  • Counter
  • Compression
  • Zero Reducer
  • Sorting
  • Secondary Sort
  • Distributed Cache
  • Partitioning into multiple output files & Passing parameters to tasks
  • Hands On Exercises

PIG

  • Pig Overview
  • Execution Modes
  • Installation
  • Pig Latin Basics
  • Developing Pig Script: Most Occurred Start Letter
  • Resources
  • Joining data-sets
  • User Defined Functions (UDF)
  • Hands On Exercises

HIVE

  • Hive Overview and Concepts
  • Installation
  • Table Creation and Deletion
  • Loading Data into Hive
  • Partitioning
  • Bucketing
  • Joins
  • Hands On Exercises

Sqoop

  • Importing and Exporting data from using RDBMS
  • Hands On Exercises

HBASE

  • Overview
  • Data Model
  • Architecture
  • HBase Management Console
  • HBase Shell: Define Schema and Create, Read, Update and Delete
  • reate via Put method
  • Read via Get method
  • Update via Put method
  • Delete via Delete method
  • Create Table
  • Drop Table
  • Scan API
  • Scan Caching
  • Scan Batching
  • Filters

OOzie

  • Introduce Oozie
  • Oozie Installation
  • Write Oozie Workflow
  • Deploy and Run Oozie Workflow

Flume

  • Overview
  • Architecture
  • Flume properties
  • Flume sinks
  • Flume Channels

Zookeeper

  • Stand alone operation
  • Managing zookeeper storage
  • Programming to Zookeeper

Introduction to CassandraIntroduction to MongoDBIntroduction to ImpalaCDH3 VS CDH4Cluster InstallationIntroduction on AVRO

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