Bigdata Hadoop Online Training

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Bigdata Hadoop Course Description

BigData Hadoop Training course lets you master the concepts of the Hadoop framework. Online Hadoop training, you'll learn how the components of the Hadoop ecosystem, MapReduce, HDFS, Pig, Impala, HBase, Flume. Learn BigData Hadoop Course in USA, CANADA, Hyderabad, Bangalore India,UK..etc

Course Objective Summary

  • Introduction to Big Data and Hadoop
  • Hadoop ecosystem - Concepts
  • Hadoop Map-reduce concepts and features
  • Developing the map-reduce Applications
  • Pig concepts
  • Hive concepts
  • Oozie workflow concepts
  • Flume Concepts
  • Hue Concepts
  • HBASE Concepts
  • Real Life Use Cases
  • Virtual box/VM Ware:
    • Basics
    • Installations
    • Backups
    • Snapshots
  • Linux:
    • Basics
    • Installations
    • Commands
  • Hadoop:
    • Why Hadoop?
    • Scaling
    • Distributed Framework
    • Hadoop v/s RDBMS
    • Brief history of hadoop
  • Setup hadoop:
    • Pseudo mode
    • Cluster mode
    • Ipv6
    • Ssh
    • Installation of java, hadoop
    • Configurations of hadoop
    • Hadoop Processes ( NN, SNN, JT, DN, TT)
    • Temporary directory
    • UI
    • Common errors when running hadoop cluster, solutions
  • HDFS- Hadoop distributed File System:
    • HDFS Design and Architecture
    • HDFS Concepts
    • Interacting HDFS using command line
    • Interacting HDFS using Java APIs
    • Dataflow
    • Blocks
    • Replica
  • Hadoop Processes:
    • Name node
    • Secondary name node
    • Job tracker
    • Task tracker
    • Data node
  • Map Reduce:
    • Developing Map Reduce Application
    • Phases in Map Reduce Framework
    • Map Reduce Input and Output Formats
    • Advanced Concepts
    • Sample Applications
    • Combiner
  • Joining datasets in Mapreduce jobs:
    • Map-side join
    • Reduce-Side join
  • Map reduce – customization:
    • Custom Input format class
    • Hash Partitioner
    • Custom Partitioner
    • Sorting techniques
    • Custom Output format class
  • Hadoop Programming Languages :-
  • I).HIVE
    • Introduction
    • Installation and Configuration
    • Interacting HDFS using HIVE
    • Map Reduce Programs through HIVE
    • HIVE Commands
    • Loading, Filtering, Grouping….
    • Data types, Operators…..
    • Joins, Groups….
    • Sample programs in HIVE
  • II).PIG
    • Basics
    • Installation and Configurations
    • Commands….

Frequently Asked Questions

  • You will never miss a class at Suntrainings! You can choose either of the two options:
  • 1. You can go through the recorded session of the missed class and the class presentation that are available for online viewing through the LMS.
  • 2. You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.
  • Sun Trainings is committed to provide you an awesome learning experience through world-class content and best-in-class instructors.
  • We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.
  • We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
  • All instructors at Sun Trainings are senior industry practitioners with minimum 10 - 12 years of relevant IT experience. They are subject matter experts who trained by Sun Trainings to provide impeccable learning experience to all our global users.
  • You can Call us at +91 9642434362 OR Email us at We shall be glad to assist you.

Bigdata Hadoop Course Curriculum

  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • Map-side join
  • Reduce-Side join
  • An Overview of Hadoop
  • The Hadoop Distributed File System
  • Hands-On Exercise
  • How MapReduce Works
  • Hands-On Exercise
  • Anatomy of a Hadoop Cluster
  • Other Hadoop Ecosystem Components
  • The MapReduce Flow
  • Examining a Sample MapReduce Program
  • Basic MapReduce API Concepts
  • The Driver Code
  • The Mapper
  • The Reducer
  • Hadoop’s Streaming API
  • Using Eclipse for Rapid Development
  • Hands-on exercise
  • The New MapReduce API
  • Sorting and Searching
  • Indexing
  • Machine Learning With Mahout
  • Term Frequency – Inverse Document Frequency
  • Word Co-Occurrence
  • Hands-On Exercise.
  • Data loading in PIG.
  • Data Extraction in PIG.
  • Data Transformation in PIG.
  • Hands on exercise on PIG.
  • Hive Query Language.
  • Alter and Delete in Hive.
  • Partition in Hive.
  • Indexing.
  • Joins in Hive.Unions in hive.
  • Industry specific configuration of hive parameters.
  • Authentication & Authorization.
  • Statistics with Hive.
  • Archiving in Hive.
  • Hands-on exercise
  • Introduction.
  • Import Data.
  • Export Data.
  • Sqoop Syntaxs.
  • Databases connection.
  • Hands-on exercise
  • Introduction.
  • Configuration and Setup.
  • Flume Sink with example.
  • Channel.
  • Flume Source with example.
  • Complex flume architecture.
  • Tableau Software…
  • Tableau Fundamentals.
  • Tableau Analytics.
  • Visual Analytics.
  • Hands-on exercise

Trainer Information

  • Trainer has 15+ years of experience in IT industry.