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Best Hadoop Admin Online Training Program

Maintain complex and large clusters by undergoing a comprehensive Hadoop admin training program. You gain expertise in not only installation, planning and configuration but also tuning and monitoring. You will also be given insights into the world of Hadoop v2 features as well as Kerberos using real-time access.

Why should I opt for this online certification course?

There is a lot of demand for admin professionals who can process petabytes of unstructured big data. This has given rise to Hadoop architecture training over a period of time.

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    As per Forbes, this Market is expected to touch nearly $100B by 2022 with a growth of nearly 42% CAGR 2015 - Forbes

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    As per McKinsey, by 2018 there will be a shortage of nearly 1.5M admin and data experts

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    Average Salary of these skilled administrators is anywhere between $100k to $115k per annum

Instructor-led live online classes

6JAN Sat - Sun ( 5 Weeks ) 09:30 AM - 12:30 PM ( EST ) $400 $300 image
8 JAN Mon - Thu ( 4 Weeks ) 08:30 PM - 10:30 PM ( EST ) $400 $300 image
6JAN Sat - Sun ( 5 Weeks ) 08:30 PM - 11:30 PM ( IST ) 26144.00 rs 19608.00 rs image
9 JAN Tue - Fri ( 4 Weeks ) 07:00 AM - 09:00 AM ( IST ) 26144.00 rs 19608.00 rs image
Can't find convenient schedule? Let us know

Course Features

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    The module features live classes that are led by expert trainers and are divided into- Weekends- 3 hour sessions | Weekdays- 2 hour sessions

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    Live project based on any of the chosen cases that involve implementation of various AWS services.

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    You must complete practical assignments, given at the end of every class, with submissions taking place in the next class. This will help you become a better developer.

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    Access for lifetime

    By enrolling in this class, you get lifetime access of all WebEx seminars and classes. Presentations and class recordings can be viewed online from WebEx without any trouble.

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    24*7 Support

    You will get round-the-clock expert support to help you with any technical queries that may arise during the course.

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    You will work on a project at the end of the module in order to get the requisite specialized certification


  • Hadoop Admin Course

    Our Hadoop Administration certification provides comprehensive exposure to all the required steps to maintain and operate a Hadoop ecosystem. Right from configuration, installation to planning, there are various levels that the participant will cover under this training. Through these steps you will also learn security, tuning and balancing.

  • Hadoop Admin Online Training Course objectives

    The online Hadoop Administration course content covers a comprehensive list of topics and you will surely master the following-

    • HDFS, Hadoop Architecture, Hadoop Cluster and Administrator's role
    • Design and Execute and perform all functions within a Hadoop Cluster such as configure, maintain, etc.
    • Load data and run applications along with configuration and performance tuning
    • Insights on Hadoop 2.0, MapReduce v2, Name Node High Availability, HDFS Federation, YARN, Hcatalog/Hive, Oozie, and HBase Administration along with hands-on project.
  • Who should opt for Hadoop online certification course?

    Hadoop Administration online training is best suited for IT Admin professionals such as-

    • Database Administrator
    • Linux admin
    • Unix admin
    • Infrastructure and system admin
    • Windows admin

    It is highly advisable to learn cloud computing after completing this online certification training program. It will add weightage to your career path.

  • Requirements of the course

    You only need to know Linux in order to start your online certification Hadoop admin training program. You can also undertake online Hadoop Java training to enhance your skill set.


  • System requirements

    You will need a system that has minimum i3 processor along with an 8GB RAM or above to pursue this certification course.

  • Online Practical

    We will help you install and set up a virtual machine in your system in order to execute your practicals seamlessly. For VM installation, you need an 8GB RAM without fail. Additionally, you can create an account with AWS EC2 and use 'Free tier usage' eligible servers to create your Hadoop Cluster on AWS EC2. Our round the clock support team will be available to assist you with any queries that may arise. Your practicals will make it extremely smooth for you to master the Hadoop and big data certification course without any problem.

  • Online Certification Case Studies

    At the end of the online certification course, you will get a brilliant opportunity to work on live projects using different Hadoop ecosystem components. You will also get to solve big data problems and resolve the issues, which will enhance your big data and Hadoop administrator skills and give you an edge in your certification course.

    1. Setup a minimum 2 Node Online Hadoop Cluster

    Node 1 – Job Tracker, Name Node, Data Node and Task Tracker

    Node 2 – Secondary name node, task tracker and data node

    2. Build a simple text file and copy to HDFS

    Locate the position of the node in which it went.

    Search in which data node the output files are written.

    3. Create a large text file and copy to HDFS with a block size of 256 MB.

    Save all the other files online in default block size.

    Find how block size has an impact on the performance.

    4. Set a spaceQuota of 200MB for projects and copy a file of 70MB with replication=2

    Find the reason the online system is not letting you copy the file.

    How will you resolve this problem without increasing the spaceQuota?

    You will be given your final certification project based on the real user cases such as-

    Problem #1:

    1. Setup an online Hadoop cluster with a single node or a 2 node cluster with data node, namenode, jobtracker, tasktracker, a secondary namenode that should be present in the cluster with a block size = 128MB.

    2. Mark a Namespace ID for the cluster and create a directory with name space quota as 10 and a space quota of 100MB in the directory.

    3. Use the ‘distcp’ command to copy the data to the same cluster or a different cluster.

    4. Create the list of data nodes joining in the cluster

    Problem #2:

    1. Save the namespace of the Namenode and without using the secondary namenode, ensure that the edit file merge can be accomplished without stopping the namenode.

    2. Set include file, so that no other nodes can talk to the namenode.

    3. Set the cluster re-balancer threshold to 40%.

    4. Set the map and reduce slots to 4 and 2 respectively for each node.


  • Hadoop Administration

    Introduction to Big Data

    • What is Big Data ?
    • Big Data Facts
    • The Three V’s of Big Data Understanding Hadoop
    • What is Hadoop ?
    • Why learn Hadoop ?
    • Relational Databases Vs. Hadoop
    • Motivation for Hadoop
    • 6 Key Hadoop Data Types
  • Hadoop Installation

    • Deployment Types
    • Installing Hadoop
    • Using Hadoop Manager for Easy Installation
    • Basic Configuration Parameters
    • Hands-On Exercise
  • Map Reduce

    • What Is MapReduce?
    • Features of MapReduce
    • Basic MapReduce Concepts
    • Architectural Overview
    • MapReduce Version 2
    • Failure Recovery
    • Hands-On Exercise
  • Hadoop Architecture and Cluster setup


    • Hadoop server roles and their usage.
    • Hadoop Installation and Initial Configuration.
    • Understand Namenode and Datanodes Communication channels.
    • Setup a Single Node Cluster.
    • Namenode Metadata’s details.
    • Setup a Multi Node Cluster – Deploying Hadoop in pseudo-distributed mode.
    • Setup Pass phraseless Access.
    • Rack Awareness.
    • Anatomy of Write and Read,.
    • Replication Pipeline, Data Processing.
    • Installing Hadoop Clients.
    • Scalability — best practices.
    • Adding/Removing nodes into/from the cluster.
  • Hadoop Cluster: Planning and Managing:


    • Planning the Hadoop Cluster.
    • Cluster Sizing.
    • Hardware and Software considerations.
    • Managing and Scheduling Jobs.
    • Types of schedulers in Hadoop – FIFO, FAIR SCHEDULER
    • Setup Queues and Pools for Jobs.
    • Configuring the schedulers and run MapReduce jobs.
    • Cluster Monitoring and Troubleshooting.
  • Hadoop and it's features

    In this module, you will learn more about the new features of Hadoop 2.0, HDFS High Availability, YARN framework and job execution flow, MRv2, federation, limitations of Hadoop 1.x and setting up Hadoop 2.0 Cluster setup in pseudo-distributed and distributed mode.

  • Value Ads (as per latest industry standards)

    • Running Hadoop on cloud — Connectivity/administration to AWS
    • Installation/administration of Cloudera Mgr & HDP (Free version)
    • Cluster Monitoring and Troubleshooting.
  • Installing and Managing Other Hadoop Projects

    • Hive
    • Pig
    • HBase
  • Populating HDFS From External Sources

    • An Overview of Flume
    • Hands-On Exercise
    • An Overview of Sqoop
    • Best Practices for Importing Data
  • Managing and Scheduling Jobs

    • Managing Running Jobs
    • Hands-On Exercise
    • FIFO Scheduler
    • FairScheduler
    • Configuring the FairScheduler
    • Hands-On Exercise
  • Hadoop Distributed File System (HDFS)

    • HDFS Design
    • HDFS Daemons
    • HDFS Federation
    • HDFS HA
    • Securing HDFS (Kerberos)
    • File Read and Write Paths


  • What If I miss a class?

    With great options to choose from, you now never have to miss a class. You can easily opt-

    • To view the recorded session of the class available
    • Attend the missed class in any other on-going live batch
  • Will I Get Placement Assistance?

    As part of our commitment, we guarantee you the best training course program under the guidance of some of the most distinguished instructors. We will be there to guide you through your projects and in your hunt for a good job by training you in interviews, however, please understand we are not into job placements and cannot assist you directly with your search in this department. We surely help you in building a great resume as well as share the important questions that may be asked during an interview, post training.

  • Can I attend a demo session before enrolling for the course?

    You have the option of going through a sample class recording to get an insight into the course as well as the quality of instructors. We have a limited number of seats to maintain the standard of quality of the class; hence, participating in a live class without enrolment is not possible.

  • What is the quality of the training instructors?

    All instructors are subject matter experts and have been practicing in the IT industry for nearly 10 to 12 years. They are additionally trained by us to ensure the quality of standard and give you a wholesome learning experience.

  • Where do I contact for further queries?

    You can call us at



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I have taken Python online training from AWA. Faculties are real time employees; they teach us in a professional way, they provide us the online material. We will have lab sessions also. If we miss the classes on a particular day we will get recording session of the missed classes.


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