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Hadoop Administration Training

Live Online & Classroom Enterprise Training

With SpringPeople’s Hadoop Administration Training, learn the skills you need to become an expert at installation and administration of large and complex Hadoop Clusters. Master the tools to optimize Hadoop for best performance in enterprises.

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Key Features
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  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

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What is Hadoop Admin training about?

Gain an in-depth knowledge of the base Apache Hadoop Framework and how it is used to process complex data sets faster and more efficiently in our Hadoop Administration Training. With easy to follow step-by-step instructions, you learn how to plan and deploy Hadoop clusters.

You also learn the skills needed to take control of your organization’s Hadoop cluster with the use of the HDFS and MapReduce configuration parameters. Aligned to the official Hadoop Administration certification, this training program also teaches you the latest industry best practices for monitoring clusters, scheduling jobs, various failure scenarios and data recovery.

In our Hadoop Admin Online Training,  you also gain hands-on experience of creating a 4 node cluster set up with Amazon EC2 and then running MapReduce jobs on it.

What are the objectives of Hadoop Admin training ?

At the end of this Hadoop Admin course, you will be able to:

  • Explain the architecture of Hadoop and the interplay of various components while processing huge data sets
  • Understand the design philosophy of HDFS file storage, failure and recovery scenarios
  • Plan a Hadoop cluster & HDFS block replication
  • Understand different Hadoop deployment types
  • Install & manage Hadoop deployments
  • Access and manipulate data through HDFS commands
  • Work with MapReduce and know the component failures and recoveries scenarios
  • Implement Checkpoint procedure, safe mode, potential problems
  • Use stack and log traces for monitoring a Hadoop cluster
  • Schedule Hadoop jobs on the same cluster
  • Create a 4 node cluster using Amazon EC2, and run MapReduce jobs on the cluster
Available Training Modes

Live Online Training

12 Hours

Classroom Training

 

2 Days
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Who is Hadoop Admin training for?

  • System Administrators using or planning to use Hadoop systems
  • Teams getting started or working on Hadoop based projects

What are the prerequisites for Hadoop Admin training?

Basic knowledge of Unix and system administration is good to have. Prior knowledge of Hadoop is not required.

Course Outline

  • Introduction to Hadoop
    • The amount of data processing in today's life
    • What Hadoop is why it is important?
    • Hadoop comparison with traditional systems
    • Hadoop history
    • Hadoop main components and architecture
  • Hadoop Distributed File System (HDFS)
    • HDFS overview and design
    • HDFS architecture
    • HDFS file storage
    • Component failures and recoveries
    • Block placement
    • Balancing the Hadoop cluster
  • Planning your Hadoop cluster
    • Planning a Hadoop cluster and its capacity
    • Hadoop software and hardware configuration
    • HDFS Block replication and rack awareness
    • Network topology for Hadoop cluster
  • Hadoop Deployment
    • Different Hadoop deployment types
    • Hadoop distribution options
    • Hadoop competitors
    • Hadoop installation procedure
    • Distributed cluster architecture
    • Lab: Hadoop Installation
  • Working with HDFS
    • Ways of accessing data in HDFS
    • Common HDFS operations and commands
    • Different HDFS commands
    • Internals of a file read in HDFS
    • Data copying with 'distcp'
    • Lab: Working with HDFS
  • Map-Reduce Abstraction
    • What MapReduce is and why it is popular
    • The Big Picture of the MapReduce
    • MapReduce process and terminology
    • MapReduce components failures and recoveries
    • Working with MapReduce
  • Hadoop Cluster Configuration
    • Hadoop configuration overview and important configuration file
    • Configuration parameters and values
    • HDFS parameters MapReduce parameters
    • Hadoop environment setup
    • 'Include' and 'Exclude' configuration files
    • Lab: MapReduce Performance Tuning
  • Hadoop Administration and Maintenance
    • Namenode/Datanode directory structures and files
    • File system image and Edit log
    • The Checkpoint Procedure
    • Namenode failure and recovery procedure
    • Safe Mode
    • Metadata and Data backup
    • Potential problems and solutions / what to look for
    • Adding and removing nodes
    • Lab: MapReduce File system Recovery
  • Hadoop Monitoring and Troubleshooting
    • Best practices of monitoring a Hadoop cluster
    • Using logs and stack traces for monitoring and troubleshooting
    • Using open-source tools to monitor Hadoop cluster
  • Job Scheduling
    • How to schedule Hadoop Jobs on the same cluster
    • Default Hadoop FIFO Schedule
    • Fair Scheduler and its configuration
  • Hadoop Multi Node Cluster Setup and Running Map Reduce Jobs on Amazon Ec2
    • Hadoop Multi Node Cluster Setup using Amazon ec2 - Creating 4 node cluster setup
    • Running Map Reduce Jobs on Cluster
  • High Availability Fedration, Yarn and Security

Who is the instructor for this training?

The trainer for this Hadoop administration course has nearly a decade of experience in Hadoop-based system administration, including 5 years of experience mentoring professionals in the domain.

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