HADOOP ADMINISTRATION ONLINE TRAINING

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HADOOP ADMINISTRATION

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Module 1 HADOOP CLUSTER ADMINISTRATION

Learning Objectives: In this module, you will understand what is Big Data and Apache Hadoop, How Hadoop solves the Big Data problems, Hadoop Cluster Architecture, Introduction to MapReduce framework, Hadoop Data Loading techniques, and Role of a Hadoop Cluster Administrator.

Introduction to Big Data

Use cases where Big Data is used

Introduction to Hadoop framework

Companies using Hadoop

HDFS File system

Hadoop Architecture

MapReduce Framework

A typical Hadoop Cluster

Hadoop Cluster Administrator: Roles and Responsibilities

Current Job Market

Module 2 HADOOP ARCHITECTURE AND CLUSTER SETUP

Learning Objectives: After this module, you will understand Multiple Hadoop Server roles such as NameNode and DataNode, and MapReduce data processing. You will also understand the Hadoop 1.0 Cluster setup and configuration, Setting up Hadoop Clients using Hadoop 1.0, and important Hadoop configuration files and parameters.

Hadoop server roles and their usage

Hadoop Installation and Initial Configuration

Understand Namenode and Datanodes Communication channels

Setup a Single Node Cluster

Namenode Metadata's details

Setup a Multi Node Cluster Deploying Hadoop in pseudodistributed mode

Setup Pass phraseless Access

Rack Awareness

Anatomy of Write and Read

Replication Pipeline, Data Processing

Installing Hadoop Clients

Module 3: HADOOP CLUSTER: PLANNING AND MANAGING

Learning Objectives: In this module, you will understand Planning and Managing a Hadoop Cluster, Hadoop Cluster Monitoring and Troubleshooting, Analysing logs, and Auditing. You will also understand Scheduling and Executing MapReduce Jobs, and different Schedulers.

List Planning the Hadoop Cluster

Cluster Sizing

Hardware considerations

Software considerations

Managing Jobs

Scheduling Jobs

Types of schedulers in Hadoop FIFO

Types of schedulers in Hadoop FAIR

Types of schedulers in Hadoop SCHEDULER

Setup Queues and Pools for Jobs

Configuring the schedulers and run MapReduce jobs

Cluster Monitoring

Cluster Troubleshooting

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