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Big Data Development Training

Introduction-BigDatas

  • Definition with Real Time Examples
  • How BigData is generated with Real Time Generation
  • Use of BigData-How Industry is utilizing BigData
  • Future of BigData

Role of Hadoop in Big Data

  • Why Hadoop?
  • What is Hadoop?
  • Hadoop v/s RDBMS, Hadoop v/s BigData
  • Brief history of Hadoop
  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • Anatomy of a Hadoop cluster
  • How Hadoop resolves the Storage issue with BigData
  • How Hadoop resolves the Performance issues with BigData
  • Hadoop Ecosystem

Requirement in Hadoop

  • Core Java
  • Basic Linux
  • Basic SQL

Overview of other Big Data Systems

  • BaseX
  • IBM Notes and IBM Domino
  • Mark Logic Server
  • MongoDBApache Cassandra

Linux Basic Commands

  • Cd
  • Pwd
  • Mkdir
  • List
  • Gedit
  • Remove

Installation

  • Installation of Cloudera CDH3
  • Installation of Java

Java Concepts required for Hadoop

  • Classes and Objects ,Loops and Conditions and variables
  • Inheritance, Polymorphism, Encapsulation
  • File Handling and Exceptions
  • Collections Frameworks
  • Abstract Classes
  • StringTokenizer with Splits

HDFS

  • HDFS Design and Architecture
  • Why HDFS as we have many Storage components?
  • Name Node-Purpose and Clear Explanation
  • JobTracker- Purpose and Clear Explanation
  • Secondary Name Node- Purpose and Clear Explanation
  • JobTracker- Purpose and Clear ExplanationTaskTracker- Purpose and Clear Explanation
  • Data flow in HDFS Writes
  • Data flow HDFS Reads
  • Interacting HDFS using command line
  • Loading a file into HDFS
  • Getting a file from HDFS
  • Removing a file in HDFS
  • Dataflow, Blocks, Replica, Racks and Context Switches

Hadoop Architecture

  • Master Slave Formula
  • Communication between Master and Slaves
  • Data Integrity Web HDFS

MapReduce

  • What is MapReduce?
  • Data Types
  • Key Value Pair
  • Input Splits or logical files
  • MapReduce Data Flow

Data Flow(Map-Shuffle-Reduce)

  • Input(key, Value) of Map Phase
  • Output(Key, Value) of Map Phase
  • Input(Key, Value) of Shuffle Phase
  • Output(Key, Values) of Shuffle Phase
  • Input(Key, Values) of Reducer Phase
  • Output (Key, Value)of Reducer Phase

Programming[Mapper ,Reducer, Combiner, Partitioner]

  • What is Mapper and How to Use it?
  • What is Reducer and How to Use it?
  • What is Combiner and When to Use it?
  • Partioner Purpose and Clear Explanation
  • Sample Programs for Mapper and Reducer
  • Sample Programs for Combiner
  • Sample Programs for Reducer
  • Complete Code Walk through with clear Demo
  • How to Create a Map-reduce Project?
  • Use Cases of Map-reduce with Real Time Examples

Input Format & Output Format

  • TextInputFormat
  • TextOutputFormat
  • KeyValueTextInputFormat

Magic of Shuffle Phase-File Formats

  • Explanation Sort and Shuffle Phase with Examples

Advanced MapReduce Programming

  • Many Sample programs with complete code walk through
  • Distributed Cache
  • Map Side Join Concepts with Sample Programs
  • Reduce Side Join Concept with Sample Programs

Custom Input Format Why do we need CustomInputFormats

  • How to Create Custom Input Formats?

Joins & Sorting

  • Joins Using Multiple Files
  • Joins using Multiple Mappers

Performance Tuning

  • How do we improve the Performance of MapReduce Execution

Debugging

  • Debugging Using Counters
  • Explaining Counters with Programs

Administration-Overview

  • Overview of Hadoop Admin
  • What is the Role of Hadoop Admin
  • Name Node Failure & Recovery

Pig

  • Why Pig?
  • What is Pig?
  • Relations, Atom, Tuples, Bags and Eval functions
  • Hands On with Pig Commands LOAD, FILTER, LIMIT ,GROUP
  • COGROUP, DISTINCT, FOREACH, JOIN, , ORDER, ,SPLIT,DUMP,STORE
  • Write sample Pig Latin scripts
  • Grunt Shell Local Mode Running Grunt Shell HDFS Mode Running
  • Java Integration with Pig Script
  • Analysis using Pig UDF
  • Creating Pig UDF Programs

HIVE

  • Interacting HDFS using HIVE
  • Map-reduce programs through HIVE
  • HIVE commands, Hive Server, Hive-H base Integration
  • Loading, Filtering, Grouping, Data types, Operators, Joins, Groups
  • Sample programs in HIVE
  • When to Use Pig? When to Use Hive?

No SQL vs SQL

  • SQL(Relational) Databases
  • NOSQL(document) Databases
  • Which is best?
  • When to Use Them?

HBASE

  • What is H Base
  • H Base Architecture
  • H Base API, Managing large data sets with H Base
  • Using HBase in Hadoop applications

Role of Zookeeper

  • Problems in Hadoop Gen 1Hadoop Gen 2-Components
  • Coordination Service

Other Hadoop Ecosystems

  • Red Hat GlusterFS
  • Lustre file system
  • Apache Hama
  • Facebook Corona

Students Works

  • Name: Krithika

    Course: Exchange 2010

    Comments: Excellent Training, Very well Knowledges trainer are here, Good place to learn

  • Name: Hilda Thabitha

    Course: Java

    Comments: Good Infrastructure, Explains the concept clearly, Doubts are cleared immediately, practical session are interesting and eagar to learn more

  • Name: Stanley Ruban

    Course: SAP TSM

    Comments: I have no negative feedback about the institute, the follow up done through phone call for classes is nice, A very good trainer with good experience.

  • Name: Ashok Kumar

    Course: SAS

    Comments: Overall it was good to study here, Trainer are very good and friendly

  • Name: Vikram

    Course: Oracle DBA

    Comments: Provides real time training working in company, Calm Environment, Administration was good, trainer has great knowledge in DBA, Great sense of humor , passionate down to earth, Very helpful

  • Name: Vivekanandan

    Course: SAP FICO

    Comments: Very good infrastruture, Good Studios Ambience, Trainer has excellent teaching skills

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