Hadoop Developer Intellipaat Online Training Course

This course covers what is Hadoop, how flow of data takes place in it and how it can enable storage and large-scale processing of big data along with deep dive into Hadoop ecosystem projects and basic administration.
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Course at a Glance

Mode of learning : Online - Self Paced

Domain / Subject : Engineering & Technology

Function : Information Technology(IT)

Duration : 41 Hours

Difficulty : Basic


Hadoop Developer online Tutorial   video course has been created to cater to developers who want to pursue a career in designing, development, and architecting Hadoop-based solutions for a global clientele.  It lays emphasis on understanding what isHadoop, how flow of data takes place in it and how it can enable storage and large-scale processing of big data along with deep dive into Hadoop ecosystem projects and basic administration like installation of single node cluster and Multi node cluster on ec2. Hadoop online video certification Tutorial provided as part of training contains in depth understanding of the subject domain.

As part of Hadoop Developer course we also cover introduction to HBase Tutorial   and do deep dive in Map Reduce examples.


The key objectives of this online Big Data Hadoop Tutorial  and training program  are to enable developers to:

  • Programming in YARN (MRv2) latest version of Hadoop Release 2.0
  • Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
  • Advance Map Reduce exercises – examples of Facebook sentiment analysis , Linkedin shortest path algorithm, Inverted indexing.
  • Derive an insight into the field of Data Science
  • Understand the Apache Hadoop framework
  • Learn to work with Hadoop Distributed File System (HDFS)
  • Implement Multi node cluster using 3-4 instances of amazon ec2.
  • Learn how MapReduce interacts with data and processes them
  • Ability to design and develop applications involving large data using Hadoop eco system.
  • Differentiate between new as well as old APIs for Hadoop
  • Understand how YARN engages in managing compute resources into clusters

Last but not the least, the Hadoop online tutorial program prepares programmers for better career opportunities in the world of Big Data!

Key Features

The key features for Big Data Hadoop Developer online Tutorial  video course include:

  • Online Tutorial  Interactive Training Duration – 41 hrs
  • Lab Hours – Unlimited Assignments
  • 24/7 Support
  • World class online training through audio, video, and written materials
  • Professional faculty with more than 18 years of experience in the industry
  • Access to 3 months of Video sessions and life time access to Virtual Machine and Course Material
  • Regular Updates on Hadoop tutorial.
  • 200 Questions Quizzes to help prepare for Cloudera certification exam
  • Intellipaat Course Completion Certificate at the end of the course

Course Outline

Module 1 – Introduction to Hadoop and its Ecosystem, Map Reduce and HDFS

  • Big Data ,Factors constituting Big Data
  • Hadoop and Hadoop Ecosystem
  • Map Reduce -Concepts of Map, Reduce, Ordering, Concurrency, Shuffle , Reducing, Concurrency
  • Hadoop Distributed File System (HDFS) Concepts and its Importance
  • Deep Dive in Map Reduce – Execution Framework, Partioner, Combiner, Data Types, Key pairs
  • HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow
  • Parallel Copying with DISTCP, Hadoop Archives

Assignment – 1

Module 2 – Hands on Exercises

  • Installing Hadoop in Pseudo Distributed Mode , Understanding Important configuration files ,their Properties and Demon Threads
  • Accessing HDFS from Command Line
  • Map Reduce – Basic Exercises
  • Understanding Hadoop Eco-system

1.Introduction to Sqoop , use cases and Installation
2.Introduction to Hive , use cases and Installation
3.Introduction to Pig , use cases and Installation
4.Introduction to Oozie , use cases and Installation
5.Introduction to Flume , use cases and Installation
6.Introduction to Yarn

Assignment -2 and 3

Mini Project – Importing Mysql Data using Sqoop and Querying it using Hive

Module 3 – Deep Dive in Map Reduce and Yarn

  • How to develop Map Reduce Application , writing unit test
  • Best Practices for developing and writing , Debugging Map Reduce applications
  • Joining Data sets in Map Reduce
  • Algorithms – Traversing Graph, etc
  • Hadoop API’s

Assignment -4 and 5

Module 4 – Deep Dive in Pig

  • Grunt, Script Mode, Data Model
  • Advance Pig Latin, Evaluation and Filter functions, Pig and Ecosystem
  • Real time use cases – Gaming Industry, Oil and Gas Sector

Assignment – 6

Module 5 – Deep Dive in Hive

  • Understanding Hive , Architecture, Physical Model, Data Model, Data Types
  • Hive QL- DDL,DML,other Operations
  • Understanding Tables in Hive, Partitioning, Indexes,Bucketing,Sub Queries, Joining Tables,Data Load and appending data to existing Table
  • Hands on Exercises – Playing with huge data and Querying extensively.
  • User defined Functions,Optimizing Queries, Tips and Tricks for performance tuning

Assignment – 7

Module 6 – Introduction to Hbase architecture

  • Introduction to HBase,Architecture,Map Reduce Integration, Different Client API – Features and Administration.

Assignment -8

Module 7 – Hadoop Cluster Setup and Running Map Reduce Jobs

  • Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
  • Running Map Reduce Jobs on Cluster

Module 8 – Major Project – Putting it all together and Connecting Dots

  • Putting it all together and Connecting Dots
  • Working with Large data sets, Steps involved in analyzing large data

Assignment – 9, 10

Module 9 – Advance Mapreduce

  • Delving Deeper Into The Hadoop API
  • More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce
  • Graph Manipulation in Hadoop

Assignment – 11, 12

Module 10 – Job and certification support

  • Major Project , Hadoop Development , cloudera Certification Tips and Guidance and Mock Interview Preparation, Practical Development Tips and Techniques, certification preparation


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