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    Hadoop Course Syllabus

    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.

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