Hadoop and HDFS Fundamentals on Cloudera

This is a fundamental course on learning about Hadoop fundamentals. The course training includes understanding What is Big Data ?, Processing Big Data, Distributed storage and processing and Understanding Map Reduce. The next section deals with practical application wherein we would understand Cloudera environment, metadata configuration on hadoop, HDFS web UI and HUE, HDFS shell commands and HDFS through Java program.

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 1h 22m | 12 Videos | 77108 Views |   All Levels

This course is primarily divided into two modules.First module focuses on understanding the Big Data and how Hadoop can be used as a storage as well as processing framework for Big Data.Second module explains Cloudera’s hadoop distribution and practicals on the same. This entire course is helpful for any software developer who wants to learn Hadoop and totally new to Big Data world.

The tutorials will help you learn about the meaning of big data, processing big data, distributed storage and processing, understanding basics of map reduce. In the next module whrein we practically apply we would learn the Cloudera environment, Understanding hadoop environment installed on Cloudera, Understanding metadata configuration on hadoop,  Understanding HDFS web UI and HUE, HDFS shell commands and  Accesing HDFS through Java program.

Hadoop software is a framework that allows you for the distributed processing of big data sets across clusters of computers using simple programming models. Hadoop was developed by Apache software foundation under open source platform in 2005. To handle such big data it uses MapReduce concept. This MapReduce the take the input data and break it for further processing across various nodes within the hadoop instance. These nodes are called worker nodes and they break the data for next processing. The processed data is then collected back in reduce step and forwarded back to original query. Hadoop look through massive scale of data analysis. Hadoop is implemented on scale-out architecture which is very low-cost physical server. It is used to distribute the processed data during map operations.

Course Objective:

• To study completely new technology which is a need of hour
• To enhance your technical skills by learning new concepts of data storage as well as data processing

Target Customers (Who should go for this training):

• Students
• Professionals
• Anyone who wants to learn Big Data

Pre-Requisites (Any requirements before undertaking the training):

• Basic understanding of client-server application
• Basic linux commands
• Passion to learn

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