Hadoop Training Course

ExtraCourse is the No.1 Hadoop online training institute offering Hadoop online and classroom courses in Hyderabad with expert guidance and 100% placement assistance..
 
Extra Course is a best Hadoop Online training institute in Hyderabad. We offer 100% practical driven program through our unique experiential learning, focus on comprehensive practical approach. We follow a holistic curriculum which has been designed by Industrial experts in a systematic approach from the beginner’s level to a more advanced study.
 

Holistic Curriculum | Complete Practical Driven Learning | Real Time Projects | Be a Future Ready

Key Highlights

  • Curriculum is curated by Industrial Experts in Hadoop
  • Extensive study on real time projects
  • Handouts, Exercises and Assignments on each and every topic 
  • Work on Real-time scenarios
  • 100+ Hands on Practical Assignments
  • Real time work on currently running projects
  • Resume preparation
  • Mock Interviews
  • 100% Placement Assistance
  • All classes will be recorded and sent to you everyday
  • Get Certified
Who We are

Timmings

WEEKDAYS BATCHES

Mon-Friday
One hour per day

WEEKEND BATCHES

Sat & Sunday
3 Hours per day

Course Duration

Coures Name
Type
Course Duration
Price
Hadoop
Training
18,000/-
Hadoop
Workshop
Hadoop
Training & Workshop

Hadoop Course Content

1. Building Blocks of Hadoop - HDFS, MapReduce, and YARN

Course Overview
Introducing Hadoop
Installing Hadoop
Storing Data with HDFS
Processing Data with MapReduce
Scheduling and Managing Tasks with YARN

2. Apache Hive

Course Overview
Hive vs. RDBMS
Getting Started with Basic Queries in Hive
Creating Databases and Tables
Using Complex Data Types and Table Generating Functions
Understanding Constraints in Subqueries and Views
Designing Schema for Hive

3. Flume and Sqoop

Course Overview
Why do we need Flume and Sqoop?
Installing Flume
Flume Agent and Flume Events
Installing Sqoop
Sqoop imports

4. Oozie Orchestration Framework

A Brief Overview Of Oozie
Oozie Install And Set Up
Workflows: A Directed Acyclic Graph Of Tasks
Coordinators: Managing Workflows
Bundles: A Collection Of Coordinators For Data Pipelines

5. Apache Pig

Course Overview
Introducing Pig
Using the GRUNT Shell
Loading Data into Relations
Working with Basic Data Transformations
Working with Advanced Data Transformations

6. Basics of streaming

Apache Kafka architecture and key concepts
Apache Storm and key concepts
Stream Processing with Spark Streaming