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Hadoop Course Syllabus

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Our Hadoop syllabus provides an overview of the Hadoop framework, an open-source platform for processing and analyzing massive datasets. Gain in-depth skills of the core components of the Hadoop ecosystem, including HDFS, MapReduce, and YARN with our Hadoop admin syllabus. Our Hadoop course syllabus will also explore advanced topics such as Hive, Pig, and Spark, which are built on top of the Hadoop ecosystem and provide higher-level abstractions for data processing.

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Course Syllabus

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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

Get expertise with Hadoop and develop the skills necessary to effectively analyze and process large-scale datasets through our Hadoop course.

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