Hadoop Training Syllabus

Reshape your fundamental skills with our updated Hadoop Course Syllabus to work on big data effectively and efficiently. The students can gain expertise in storing and processing datasets that are ranging from gigabytes to petabytes of data as we have everything in our Hadoop Course Curriculum. Get trained on basic big data concepts, Hadoop DFS, MapReduce, cluster planning, installation and configuration of Hadoop app, authentication, resource management, cluster management, troubleshooting, and backup and recovery with complete hands-on exposure.

INTRODUCTION

What is Big Data?
Big Data – Journey
Big Data Statistics
Big Data Analytics
Big Data Challenges
Technologies Supported By Big Data
Hadoop Introduction
What Is Hadoop?
History Of Hadoop
Breakthroughs Of Hadoop
Future of Hadoop
Who Is Using?
Basic Concepts
The Hadoop Distributed File System – At a Glance
Hadoop Daemon Processes
Anatomy Of A Hadoop Cluster
Hadoop Distributions

HADOOP DISTRIBUTED FILE SYSTEM (HDFS)

What is HDFS?
Distributed File System (DFS)
Hadoop Distributed File System (HDFS)
HDFS Cluster Architecture and Block Placement
NameNode
DataNode
JobTracker
TaskTracker
Secondary NameNode
HDFS Concepts
Typical Workflow
Data Replication
Replica Placement
Replication Policy
Hadoop Rack Awareness
Anatomy of a File Read
Anatomy of a File Write

MAPREDUCE

Job Tracker
Task Tracker
Task Failures
Task Tracker Failures
Job Tracker Failures
HDFS Failures
YARN

HOW TO PLAN A CLUSTER

Versions & Hadrware
Hardware selection
Master Hardware
Slave Hardware
Cluster sizing
Operating system selection
Deployment Layout
Software Packages
Hostname, DNS
Users, Groups, Privileges
Disk configuration
Choose a FileSystem
Mount options
Network design
Network usage in Hadoop
Typical network Topologies

INSTALLATION AND CONFIGURATION

Apache Hadoop
Tarball Installation
Package Installation
XML Configuration
Logging Configuration
HDFS
Optimization and Tuning
Optimization and Tuning

AUTHENTICATION

Kerberos & Hadoop
Kerberos
Configuring Hadoop Security

RESOURCE MANAGEMENT

What is source management?
Mapreduce Scheduler
Capacity Scheduler
Fair Scheduler

CLUSTER MAINTENANCE

Managing Hadoop
Starting and stopping processes with Init scripts
Starting and stopping

Processes Manually

HDFS Maintenance
Adding and Decommissioning

DataNode

Balancing HDFS Block Data
Dealing with a Failed disk
MAPREDUCE Maintenance
Adding and Decommissioning TaskTracker
Kill MapReduce Job and Task
Dealing Blacklisted
Tasktracker

TROUBLESHOOTING

COMMON FAILUERS AND PROBLEMS
HDFS AND MAPREDUCE CHECKS

BACKUP AND RECOVERY

DATA BACKUP
Distributed copy
Parallel data ingestion
NAMENODE METADATA

Conclusion

Convert your traditional data processing methods by learning in our Hadoop Course Syllabus and we offer training by industry experts in our Big Data Hadoop Training Institute in Chennai at SLA.