Hadoop Admin Syllabus

Table of Content

Introduction
• Big Data
• 3Vs
• Role of Hadoop in Big data
• Hadoop and its ecosystem
• Overview of other Big Data Systems
• Requirements in Hadoop
• Use Cases of Hadoop

Installing the Hadoop Distributed File System (HDFS)
• Defining key design assumptions and architecture
• Configuring and setting up the file system
• Issuing commands from the console
• Reading and writing files

Setting the stage for MapReduce
• Introducing the computing daemons
• Dissecting a MapReduce job

Defining Hadoop Cluster Requirements
• Selecting appropriate hardware
• Designing a scalable cluster

SQOOP
• Sqoop Installations and Basics
• Importing Data from Oracle to HDFS
• Advance Imports
• Real Time UseCase
• Exporting Data from HDFS to Oracle
• Running Sqoop in Cloudera

Building the cluster
• Installing Hadoop daemons
• Optimizing the network architecture

Configuring a Cluster – Pseudo node and multi - node
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication

Deploying MapReduce
• Installing and setting up the MapReduce environment
• Delivering redundant load balancing via Rack Awareness

Configuring a Cluster
• Setting basic configuration parameters
• Configuring block allocation, redundancy and replication

Deploying MapReduce
• Installing and setting up the MapReduce environment

Managing Resources and Cluster Health Maintaining HDFS
• Starting and stopping Hadoop daemons • Monitoring HDFS status • Adding and removing data nodes

Administering MapReduce
• Managing MapReduce jobs
• Tracking progress with monitoring tools
• Commissioning and decommissioning compute nodes

Performing Hadoop status checks
• Importing and exporting relational information with Sqoop

Planning for Backup, Recovery and Security
• Coping with inevitable hardware failures
• Securing your Hadoop cluster

Extending Hadoop
• Enabling SQL-like querying with Hive
• Installing Pig to create MapReduce jobs
• Working with Zookeeper and Ooziew workflow

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