This module will help the learner to understand what is bigdata, why we must understand the importance of big data and how the traditional tools failed to store and process it. This video will also help the learner to understand the importance of Hadoop and its eco tools.

In this video, the learner will understand how to install VM-Ware, configuring Centos on VM-Ware and how to install Hadoop on a single machine. If the student doesn't have enough capacity on his/her Laptop / Desktop, the student should follow the guideline of Hadoop Multi-node cluster, the only exception Learner needs to remember is that he/she doesn't have to create an image of the machine. For more details please go through the attached Configure Hadoop on AWS Cloud Platform pdf else contact me for more guidance.

In this video, the learner should get a clear cut understanding of how to create Hadoop Cluster on AWS platform and how to submit Hadoop commands or HDFS commands on the Hadoop cluster. The learner is advised to practice all the commands given in the attached HDFS command pdf file.

Hadoop Administer must know how to submit a job or how to test the credibility of the configured cluster. Leaner must know how to test the cluster potential of data distribution and data analysis. This video does exactly the same.

It is very important for any Hadoop admin to know how to plan Hadoop Cluster. This video can give professional-level expertise to plan a Hadoop Cluster. The learner should be able to plan a Hadoop cluster with a proper understanding of each step. After completing this video learner can practice on attached file for planning his/ her cluster.

SafeMode is a maintenance state of the NameNode machine. This video helps the learner to understand the importance of SafeMode command, what this command does and when to use this command.

This video should help the learner to remove or connect servers professionally and take care of all pre and post requisites to complete the task.

Trash Functionality helps the learner to recover accidentally deleted data. This module helps the learner to configure this functionality to increase the possibility of data recovery. The learner should not lose any more data after implementing this configuration.

Rack Awareness concept helps the learner to increase the possibility of data recovery and data reliability on Hadoop Cluster. Using this concept learner should learn the data block policy which makes the magic of data recovery.

This module helps the learner to use DistCp utility most effectively. Using this Utility learner should be able to copy data from one cluster to another cluster. This module also guides on how to copy data within the cluster.

This module focus on configuring Capacity Scheduler on Hadoop Cluster. This module explains how to use default Capacity Scheduler as a user-defined scheduler. After completing this module leaner will be able to manage cluster resource between multiple teams.

This lecture can help students to configure Namenode High Availability. Using this module learner can convert any single point of failure namenode into highly available namenode. In this module, the learner will understand the importance of an odd number of machines for high availability.

This module helps the learner to create a Cloudera Hadoop Multinode Cluster. Using this module Learner can understand all the configuration changes and tips to create and administer a Cloudera Cluster.

This module helps the learner to create an active directory and configure Kerberos on single node Cloudera Hadoop Cluster. The learner can use LDAP configuration for connection. To complete this module user must create one Cloudera Hadoop Cluster for quick learning. Student can follow steps given in Module 7 to create a Cloudera Single Node Cluster. The guideline given in this module of Kerberos configuration is applicable for Cloudera Multinode Cluster as well but since AWS free Tier account does not allow us to create more than 5 machines we are focusing on Single Machine only.