Course Overview
1h 13m | 10 Videos | 73472 Views | 
Intermediate About the Practical training on HDFS Architecture and MapReduce
The course is to understand the HDFS architecture and MapReduce concepts practically with the help of projects. This will help you to run the business better and to maintain the database properly.
The course has been divided into two modules wherein you get to learn about the HDFS architecture and MapReduce Architecture.
In HDFS Architecture we shall be learning about Components of HDFS – Namenode, Datanode and Secondary Namenode, Data Replication in HDFS, Rack Awareness, High Availability in HDFS, Read and Write mechanism in HDFS and Loading data in HDFS.
In Map-Reduce Architecture we shall understand the Components of YARN, Flow chart of data flow through Map-Reduce Phase, Architecture of Resource Manager, NodeManager and Application master, Architect – MapReduce, Shuffle & Sort in MapReduce, Partitioners and Combiners, Installation of Hadoop 2.6.0 on ubuntu linux OS and Project in MapReduce.
Course Objective:
- To study a completely new program of HDFS Architecture and Map reduce
- To enhance your knowledge by practically learning and applying the concepts you learn
Target Customers:
- Students
- Professionals
- Anyone who wants to learn about HDFS and Mapreduce
Pre-Requisites:
- Basic Computer Knowledge
- Basic knowledge of Big data concepts
- Passion to learn
