Hadoop Big Data

Hadoop Big Data Training with One Month Paid Internship & Live Projects

Minimum Eligibility

Graduate/ B.E/ B.Tech/ BCA/ MCA

 Promotional Discount

Internship Salary

Upto 15% off

Rs 2000/-

COURSE FEES  RS.15,000/-

Building mobile apps is now an exciting career that involves most types of developers these days. So, SKMTECHNOSOLZ is launching a new course on Hadoop big data to train individuals on developing mobile apps.

Hadoop big data is a way to build mobile apps while adding re-use to your code and other assets without knowing native coding, you only need to learn HTML5, CSS, Javascript, jQuery and Hadoop big data (Cordova).

With this course, you will learn to create HTML5 based mobile applications that can distribute to all major Hadoop big data platforms– without coding a signle line of Java or Objective C. Using the Hadoop big data platform and the techniques demonstrated in this course you can also write your code once and distribute to both iOS and Android easily.

Benefits of learning Hadoop big data @ SKMTECHNOSOLZ PVT LTD

  • Leading Drupal training institute in Bangalore
  • State of the art infrastructure
  • Industry Experienced and skilled teachers
  • Facility to work on “Live” Projects
  • Certificate on completion of the Course
  • 100% Job Assistance Guaranteed!

Cordova (Hadoop big data) Course Content:

Module 1 Hadoop Developer Training Outline

Introduction to Hadoop

  • Hadoop Distributed File System
  • Hadoop Architecture
  • MapReduce & HDFS

Module 2 Hadoop Eco Systems

Introduction to Pig

  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map

Module 3 Hadoop Developer

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
  • Fume Overview
  • Moving The Data from Web server Into Hadoop
  • Real Time Example in Hadoop
  • Apache Log viewer Analysis
  • Market Basket AlgorithmsBig Data Overview
  • Introduction In Hadoop and Hadoop Related Eco System.
  • Choosing Hardware For Hadoop Cluster nodes
  • Apache Hadoop Installation
  • Standalone Mode
  • Pseudo Distributed Mode
  • Fully Distributed Mode
  • Installing Hadoop Eco System and Integrate With Hadoop
  • Zookeeper Installation
  • Hbase Installation
  • Hive Installation
  • Pig Installation
  • Sqoop Installation
  • Installing Mahout
  • Horton Works Installation
  • Cloudera Installation
  • Hadoop Commands usage
  • Import the data in HDFS
  • Sample Hadoop Examples (Word count program and Population problem)
  • Monitoring The Hadoop Cluster
  • 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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