BIG DATA WITH HADOOP

Program Objective

This course is designed to give a detailed knowledge of Big Data Framework using Hadoop, including HDFS, HIVE, PIG, YARN, HBASE and MapReduce. The objective of our program is to develop a better understanding about Big Data to appreciate its growth and usefulness in the Data Science. This program provides conceptual clarity about Big Data and developing requisite skills to process and analysis of the data using Hadoop. Hence, our program will give you a hands-on real-life industry use cases. As you learn different technologies you will be able to take decisions on how to fit them in order to process the Big Data.

Learning Outcomes

After completion of this course, you will be able to design Distributed Systems which can manage Big Data using Hadoop and other related technologies. In this course, you will learn to use HDFS and MapReduce to store and analysis data at large scale. You will be able to create scripts to process and analysis data on the Hadoop cluster by using Pig and Hive. Hence, you will be able to understand what Big Data is, what are the limitations in the traditional solutions available outside, how Hadoop works, Hadoop’s ecosystem, Hadoop’s Architecture, Framework of File Read and Write. You will be able to analyze and load the data and can extract the best outcomes from that so you can help your organization to take the best decision and increase their growth.

Course Overview

  • Hadoop Architecture-HDFS, MapReduce
  • Installation of Hadoop Components
  • HIVE
  • PIG
  • HBASE
  • SQOOP
  • FLUME
  • OOZIE

Pre-requisite Skills

Course Benefits

  • Study Material.
  • Placement Assistance
  • Interview Preparation
  • Experienced and Certified Trainers
  • Certificate exam from Emerging India
  • Online Assignments

Project work

Interview Preparation & Personality Development

Career prospect

Job titles

  • Hadoop Developer
  • Hadoop Administrator
  • Data Scientist
  • Hadoop Tester

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