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Big Data & Hadoop at Skanda Globals Institute





₹ 15,000   ( ₹ 18,000  | 15% Off)
BTM 1st Stage,Near Gangothri Circle Dominoes Building 2nd Floor, ,
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Course Prerequisites

  • Good to have basic knowledge of core java concepts

Training Highlights

  • Covers required core java concepts by Java working professional
  • Focus on hands on training
  • Assignments and live case studies
  • Hadoop certification guidance
  • Resume preparation and FAQ’s provided
  • 100% practical with mentor guidance
  • Covers all important hadoop eco system products

Module 1: Hadoop Overview

Topics covered on Hadoop Overview
  • What is Big Data?
  • What are the challenges for processing big data?
  • What technologies support big data?
  • 3V’s of BigData and Growing
  • Problems with traditional large-scale systems

Module 2: Administration

Topic 1: Hadoop Deployment Modes
  • Local or standalone mode
  • Pseudo distributed mode
  • Fully distributed mode
Topic 2: Installation of Hadoop – Pseudo mode
  • Linux OS installation
  • Preparing Linux for Hadoop Installation
  • Hadoop Installation
  • Configuring Hadoop
  • Start/Stop Cluster
Topic 3: Cluster health check
  • Through command line
  • Through NN and JT UI
Topic 4: Log monitoring
  • Checking services logs
  • Checking user application logs

Module 3: Development

Topic 1: MapReduce Programming
  • MapReduce framework and architecture
  • Hadoop Data Types
Topic 2: Developing MapReduce Programs in
  • Local Mode
  • Pseudo-distributed Mode
  • Fully distributed mode
  • Writing MapReduce Programs
  • Examining MapReduce Programming
    • ToolRunner
    • Basic API Concepts (Driver code, Mapper, Reducer)
Topic 3: Delving Deeper Into the Hadoop API
  • The configure and close Methods
  • Input and Output Formatters
    • Text Format
    • KeyValue Format
    • Nline Format
    • SequenceFile Format
    • Composite and Combine File Formats
    • Partitioners
Topic 4: Tuning for Performance
  • Reducing network traffic with combiner
  • Reducing the amount of input data
  • Running with speculative execution
Topic 5: Advanced MapReduce Programming
  • Recap of the MapReduce Flow
  • Custom Writables and WritableComparables
  • Map-Side Joins
  • Reduce-Side Joins
  • Using The Distributed Cache
Topic 6: Monitoring and debugging on a Production Cluster
  • Counters
  • Skipping Bad Records
  • Rerunning failed tasks with Isolation Runner
  • Schedulers(FIFO, Capacity and Fair)

Module 4: ETL

Topic 1: Pig - ETL
  • Introduction, Pig Vs Hive
  • Pig Vs MapReduce and SQL
  • Pig’s Data Model
  • Pig Architecture
  • Pig Latin, Transformations
  • Installing and Running Pig in Local & Distributed modes
  • Advanced Pig concepts, Debugging
  • Hands-on Exercise
Topic 2: Hive – Dataware housing platform
  • Architecture of Hive
  • Hive Services, Clients, Metastore
  • Hive Data Model and File Formats
  • Hive Query Language
  • DDL in Hive
  • Joins, Unions, Indexing, Views
  • Statistics & Archiving with Hive
  • Hive Partitions, Buckets
  • Hive UDF,UDAF,UDTF
  • Hive SerDe properties
  • Hive Optimizations and best practices
  • Hands-on Exercise
Topic 3: Hbase – NOSQL Database
  • Hbase Overview & Architecture
  • Hbase Installation
  • Usage Scenerio of Hbase, CRUD
  • HBase DataModel
    • Table and Row
    • Column Family & Column Qualifier
    • Cell and its Versioning
    • Regions and Region Server
  • Hbase operations (Get/Scan, Put, Delete..)
  • Hbase Admin – Create database, Develop and run sample applications
  • Hbase Clients
    • Thrift
    • Java API
    • REST
  • MapReduce & Hive Integration with Hbase
Topic 4: Sqoop
  • Overview on Sqoop import/export
  • Install and configure Sqoop on cluster
  • MySQL Installation and connection
  • Sqoop commands
  • Various Options to Import Data
    • Table Imports
    • Filtering Imports
    • Hive Imports
Topic 5: Flume
  • Introduction and Architecture
  • Install and configure Flume
  • Flume Components
  • Flume Events
  • Hands-on Exercise
  • Gathering Twitter data using Flume

Module 5: Testing

Topics covered on MapReduce
  • Deep dive to user application logs
  • MR Unit Framework
    • Word Count unit tests
    • Eclipse hooks to test in local mode
    • Best practices
  • Having about 6years of experience on only hadoop and other BIG DATA systems
  • Having 4 years of training experience on only hadoop
  • Working for a top MNC company
  • Each & every concept will be explained with real time existing scenarios
  • One to One interaction to assist for getting the job
  • Interview questions discussion
  • Resume Preparation
Good Course
  • Content
  • Instructor
  • Institute

Summary

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hadoop skanda global IT bangalore training course
Price: ₹ 15,000
Start-End Dates: 22 Oct 16 - 21 Nov 16
Course Duration: 30 days
Discount: 25%
Instructional Level: Appropriate for All
Certification
Quizzes
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
Refund Policy
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