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Big data and Hadoop online classes

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Course type: Online Instructor led Course

Platform: WizIQ,skype,google hangout

Course ID: 24231

Course type: Online Instructor led Course

Platform: WizIQ,skype,google hangout

Students Interested 0 (Seats Left 0)

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About the Course

It is hadoop developer training class will be conducted online and provided 5 institute training material at free of cost.
1. simplilearn hadoop and big data course access for one year

2. Infinite skill hadoop course and amazon web serivice video

3. edureka institue big data and hadoop video

4.Lynda hadoop course

5. Udemy hadoop and big data course

Many more books and pdf and ppts will be free accessible with this course.

Topics Covered

Introduction to Hadoop & Big Data
Introduction to Hadoop
Introduction to Big Data
Hadoop Ecosystem - Concepts
Hadoop Map Reduce Concepts and Features
Developing the Map Reduce Applications
PIG Concepts
HIVE Concepts
Flume concepts
HUE Concepts
Hbase concepts
Real Life Use Cases
How Hadoop can solve problem associated with traditional large scale system
Other Open Source Software related to Hadoop
IN depth Knowledge on how Big Data Solutions work on Cloud
How to create your own Hadoop Cluster
2. Hadoop Architecture
Understand the main Hadoop Components
Setup Hadoop
Pseudo Mode
Cluster Mode
Installation of Java , Hadoop
Configuration of Hadoop
Hadoop Processes
Name Node , Secondry Name Node
Job Tracker , Task Tracker
Data Node
HDFS - Hadoop Distributed File Syatem
Learn How HDFS Works
HDFS Design and Architecture
HDFS Concepts
Interacting HDFS using command Line
Interacting HDFS using Java APIs
List Data Access patterns for which HDFS is Designed
Learn how data is stored in HDFC Cluster
Learn HDFC Commands
LINUX Basics , Installation and Commands
3. Querying Data
An overview of Pig, Hive and JAQL
Working with Pig
Working with Hive
Working with JAQL
Working with Pig , Hive and JAQL Transcript
Querying Data with Pig , Hive and JAQL
4. Introduction to MapReduce
Understands the concepts of map and reduce operations
Developing Map reduce Applications
Describes how Hadoop execute a MapReduce Job
Phases in Map reduce Framework
Map reduce Input and Output Formats
Advanced Concepts
Sample Application
Joining Datasets in Map reduce Jobs
Map - Side Join
Reduce - Side Join
Map reduce customization
Custom Input Format class
Hash Partitioner
Custom Partitioner
Sorting Technique
Custom Output Format class
Writing a Map reduce programe
The Map reduce Flow
Examining a sample Map reduce programe
Basic Map reduce API concepts
The Mapper
The Reducer
Hadoop Streaming API
Using Eclipse for rapid development
Hans on Exercise
Common Map reduce Algorithms
Sorting and Searching
Machine Learning with Mahout
Term Frequency
List MapReduce Fundamental Data Types
Explain a MapReduce Data flow
List MapReduce fault tolerance and scheduling features
Introduction to Hive
Installation and Configuration
Interacting HDFS using Hive
Map Reduce Programs through Hive
Hive Commands
Loading , Filtering , Grouping
Data Types , Operators
Joins , Groups
Sample Program in Hive
Hive Query Language
Alter and Delete in Hive
Partition in Hive
Joins in Hive , Unions in Hive
Authentication and Authorization
Statistics with Hive
Archiving in Hive
Hands on exercise
6. PIG
Introduction to PIG
Installation and Configuration
Data Loading in PIG
Data Extraction in PIG
Data Transformation in PIG
Hands on Exercise on PIG
7. Shifting Data into Hadoop
Understand how to transfer data into Hadoop using Flume
Introduction to Flume
Introduction to Flume Transcript
Working with Flume
Flume mode of operation and configuration
8. Working with Sqoop
Introduction to Sqoop
Import Data
Export Data
Sqoop Syntax
Databases connection
Hands on Exercise
9. Working with Flume
Introduction to Flume
Configuration and Setup
Flume sink with example
Flume source with example
Complex Flume Architecture
IMPALA Concepts
HUE Concepts
OOZIE Concepts

Who should attend

All IT professional can attend who has experience in java


The guys who has experience in java at least 1 year minimum.

What you need to bring

I want to spread learning about big data and hadoop mainly to provide advanced things in big data and hadoop.

Key Takeaways

It is hadoop developer training programme which will give knowledge in the field of big data.

Date and Time

Not decided yet.

About the Trainer

Avg Rating




I have 10 years experience in java/j2ee in core java,adv java,struts,hibernate ,spring and restful webserices .
I am giving classes on hadoop and big data.I have 2 years exp. including in hadoop and big data.


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Students Interested 0 (Seats Left 0)

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