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Apache Hadoop Big Data Training Course

Sample Session:
Training Course Details Session:


https://www.youtube.com/watch?v=ij3v4mYKxHw


Haddop Business Case:


https://www.youtube.com/watch?v=vh0GpSi8StU


https://www.youtube.com/watch?v=jYAv34PHEdc


Hadoop HDFS Lab:


https://www.youtube.com/watch?v=Pp8SV50S9HM




Introduction to HADOOP

               Distributed computing , cloud computing
               Big data Basics and Need for Parallel Processing
               How Hadoop works ?
               Introduction to HDFS and Map Reduce


 Hadoop Architecture Details

               Name Node
               Data Node
               Secondary Name Node
               Job Tracker
               Task Tracker


HDFS ( Hadoop - Distributed File System)

               Hadoop Distributed file system , Background, GFS
               Data Replication
               Data Storage
               Data Retrieval
               Additional HDFS commands


 MapReduce Programming

               MapReduce, Background
               Writing MapReduce Programs
               Writable and WritableComparable
               Input Format, Output Format
Input Split and Block size
       Combiner
       Partitioner
       Number of Mappers and Reducers
       Counters


Map Reduce Algorithms and Exercises

       Line Count and Word Count
       Distributed Search
       Sorting Data – Key Value Data Type
       Mathematical Transformation example
       Working with Counters exercise
       Distributed Cache exercise
       Zero Reducer based exercises




Hadoop Streaming

       Introduction to Hadoop Streaming
       Streaming API details and use cases
       Python Based Example for Streaming API
       Exercise for Hadoop Streaming ( XML Files ) Based.
       Exercises on Ruby
       Exercise on C# using MS-Azure.

Apache Pig

       Installation
       Execution Types
       Grunt Shell
       Pig Latin
       Data Processing
       Loading and Storing
       Data Filtering
       Grouping & Joining Operations
       Hands on Exercises


Apache HBase Installation and Details
HBase and NOSQL Introduction
       HBase Installation and Configuration.
       HBase and Java Based integration
       HBase Hadoop Integration Details.
       HBase basic exercises


Apache Hive Installation and Details

         Hive Installation on Single cluster Hadoop Node.
         Hive Services
         Hive Shell Description
         Hive Server·
         Meta store Details
         Hive QL Basics
         Working with Tables, Databases etc.
         Hive JDBC programming
         Hands on Exercises and Assignments



Introduction to Amazon Map Reduce (AWS-EMR)

       Hadoop using Amaozon Web Service
       AWS MapReduce and EC2
       AWS - S3 Service Model.
       AWS-MR Architecture.
       Streaming Exercise using EMR JobFlow.

Hadoop Infrastructure Planning

       Basic Hadoop hardware and software req
       Small , Medium and Large cluster
       Networking challenges in Hadoop Deployment
       Disaster Recovery ( DR ) in Hadoop .
       Performance Tuning a large cluster

Hadoop Industry Solutions

       EMC GreenPlum Introduction
       IBM BigInsight Details
       Oracle , Microsoft etc Hadoop Offerings
       Cloudera and HortonWorks Hadoop Package
Hadoop and Cloud Computing

       Using Cloud technologies for distributed processing
       Hadoop on Amazon Web Service.
       Hadoop in Oracle Cloud / RackSpace

============================================================


Medium: GotoMeeting

Duration: 35 Hours

Materials: 50+ Exercises-Fully Solved. Decks, VM Machine.

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Hadoop online training course

  • 1. Apache Hadoop Big Data Training Course Sample Session: Training Course Details Session: https://www.youtube.com/watch?v=ij3v4mYKxHw Haddop Business Case: https://www.youtube.com/watch?v=vh0GpSi8StU https://www.youtube.com/watch?v=jYAv34PHEdc Hadoop HDFS Lab: https://www.youtube.com/watch?v=Pp8SV50S9HM Introduction to HADOOP Distributed computing , cloud computing Big data Basics and Need for Parallel Processing How Hadoop works ? Introduction to HDFS and Map Reduce Hadoop Architecture Details Name Node Data Node Secondary Name Node Job Tracker Task Tracker HDFS ( Hadoop - Distributed File System) Hadoop Distributed file system , Background, GFS Data Replication Data Storage Data Retrieval Additional HDFS commands MapReduce Programming MapReduce, Background Writing MapReduce Programs Writable and WritableComparable Input Format, Output Format
  • 2. Input Split and Block size Combiner Partitioner Number of Mappers and Reducers Counters Map Reduce Algorithms and Exercises Line Count and Word Count Distributed Search Sorting Data – Key Value Data Type Mathematical Transformation example Working with Counters exercise Distributed Cache exercise Zero Reducer based exercises Hadoop Streaming Introduction to Hadoop Streaming Streaming API details and use cases Python Based Example for Streaming API Exercise for Hadoop Streaming ( XML Files ) Based. Exercises on Ruby Exercise on C# using MS-Azure. Apache Pig Installation Execution Types Grunt Shell Pig Latin Data Processing Loading and Storing Data Filtering Grouping & Joining Operations Hands on Exercises Apache HBase Installation and Details
  • 3. HBase and NOSQL Introduction HBase Installation and Configuration. HBase and Java Based integration HBase Hadoop Integration Details. HBase basic exercises Apache Hive Installation and Details Hive Installation on Single cluster Hadoop Node. Hive Services Hive Shell Description Hive Server· Meta store Details Hive QL Basics Working with Tables, Databases etc. Hive JDBC programming Hands on Exercises and Assignments Introduction to Amazon Map Reduce (AWS-EMR) Hadoop using Amaozon Web Service AWS MapReduce and EC2 AWS - S3 Service Model. AWS-MR Architecture. Streaming Exercise using EMR JobFlow. Hadoop Infrastructure Planning Basic Hadoop hardware and software req Small , Medium and Large cluster Networking challenges in Hadoop Deployment Disaster Recovery ( DR ) in Hadoop . Performance Tuning a large cluster Hadoop Industry Solutions EMC GreenPlum Introduction IBM BigInsight Details Oracle , Microsoft etc Hadoop Offerings Cloudera and HortonWorks Hadoop Package
  • 4. Hadoop and Cloud Computing Using Cloud technologies for distributed processing Hadoop on Amazon Web Service. Hadoop in Oracle Cloud / RackSpace ============================================================ Medium: GotoMeeting Duration: 35 Hours Materials: 50+ Exercises-Fully Solved. Decks, VM Machine.