Hadoop Online Training

Hadoop Online Training

Hadoop-online-training-nareshit

About Hadoop Online Training

Doug Cutting, Mike Cafarella and team developed HADOOP in 2005 by taking the solution provided by Google. Hadoop is an open source and Java-based programming framework. It is used for data processing and storage of large data sets in a distributed environment. It is a part of the Apache project sponsored by the Apache Software Foundation. It consists of computer clusters designed from commodity hardware. This Hadoop course from Naresh I technologies is designed based on the demand in current IT market and also for Certification. Bigdata Hadoop is set to change the IT industries in a big way by processing the data. Hadoop uses structured, Semi-structured and Unstructured data.

Course Objectives

Hadoop Course Objective

After completion of the Hadoop Course at Naresh I Technologies, you will be expertise and eligible for:

  •  Complete knowledge of all components in Hadoop like MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
  • Able to work on Hadoop related Project independently
  • Setup/Install/Configure Hadoop in Dev/Support/Test environment
  • Understand architecture of Hadoop and various operations performed on it
  • Familiar with standard solutions

Who should go for this course

  • Any IT experienced Professional who is interested to work on IT job related to Data Science, Bigdata, Hadoop, etc.
  • Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
  • Fresh Graduates.

Pre-requisites

The course can learn by any IT professional having basic knowledge of:

  • Unix/Linux Operating System
  • Core Java
  • Database concepts of SQL

Course Curriculum

  • Hadoop Distributed File System
  • Hadoop Architecture
  • MapReduce & HDFS
  • Introduction to Pig
  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map
  • Moving the Data into Hadoop
  • Moving The Data out from Hadoop
  • Reading and Writing the files in HDFS using java program
  • The Hadoop Java API for MapReduce

Mapper Class

Reducer Class

  • Driver Class
  • Writing Basic MapReduce Program In java
  • Understanding the MapReduce Internal Components
  • Hbase MapReduce Program
  • Hive Overview
  • Working with Hive
  • Pig Overview
  • Working with Pig
  • Sqoop Overview
  • Moving the Data from RDBMS to Hadoop
  • Moving the Data from RDBMS to Hbase
  • Moving the Data from RDBMS to Hive
  • Flume Overview
  • Moving The Data from Web server Into Hadoop
  • Real Time Example in Hadoop
  • Apache Log viewer Analysis
  • Market Basket Algorithms
  • Big Data Overview
  • Introduction In Hadoop and Hadoop Related Eco System.
  • Choosing Hardware For Hadoop Cluster nodes
  • Standalone Mode
  • Pseudo Distributed Mode
  • Fully Distributed Mode
  • Zookeeper Installation
  • Hbase Installation
  • Hive Installation
  • Pig Installation
  • Sqoop Installation
  • Installing Mahout
  • Cloudera Installation
  • Hadoop Commands usage
  • Import the data in HDFS
  • Sample Hadoop Examples (Word count program and Population problem)
  • Monitoring Hadoop Cluster with Ganglia
  • Monitoring Hadoop Cluster with Nagios
  • Monitoring Hadoop Cluster with JMX
  • Hadoop Configuration management Tool
  • Hadoop Benchmarking


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Training Features

Instructor-Led Training Sessions

We believe to provide our students the Best interactive experience as part of their learning

Expert Trainers

We Constantly evaluate our trainers and only the “Best” Provides the Training

Flexible Schedule

Do not hesitate to ask… because we will work according to your calendar

Industry Specific Scenarios

Students are provided with all the Real-Time and Relevant Scenarios

e-Learning Sessions

Online training sessions are held Live and we provide students with the Training Videos

24/7 Support

No [email protected] all…!!! Your Question will be answered by Us at any Hour of the time

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