Course Details

Hadoop Administration Overview

Hadoop Administration covers the core Hadoop distributions and its capabilities. It deals with the Hadoop Distributed File Systems and its processing frameworks.

Course Hadoop Administration Training
Mode of Training Instructor Led Live Online Training
Duration 30 hours
Timings Flexible (Our Rep will work with you on the timings that suits your needs)
Course Material Our Expert Trainer will share you all the necessary course material,  ppt’s, videos and pdf’s
Examples Trainer will cover Real time scenarios during the training
Interview Questions Click here to see the Interview Questions
Certification Click here to know about the Hadoop Administration Certification
Salary Trends Check here to see the salary trends here.

After the completion of Hadoop Administration training, a participant will be able to

  • Cloud Management Solutions
  • Hadoop Distributed File Systems
  • Big Data Administrator
  • Hadoop Cluster

This course is best suited to the professionals with IT Admin experience such as :

  •  Database Administrator.
  • Windows and Infrastructure Administrator.
  • Linux/Unix Administrator.
  • System Administrator.
  • Having Cloud Computing skills is highly required after learning Hadoop Administration Training, Check out the AWS course details.

There are no specific prerequisites for learning Hadoop Administration. However, certain job roles might make an advantage out of this training, like:

  • Cloud Administrator
  • System Administrator
  • IT Professionals
  • Any graduate with special interest on the course.

Self Paced Learning moves at a pace set by the learner and is cost effective. It boosts the retention of information simultaneously to a large number of people. Self paced training is for the people who want to go fast track and want to finish the course in a minimal time. These Hadoop Aministration Training videos are carefully developed in such a way that even a fresher can easily understand and learn the product at his/her own pace.

On the other hand, Live Online Training takes place at a scheduled event or time where an Instructor plays an important role throughout the learning process.

In Tekslate, Hadoop Administration training is delivered by certified working professionals. Whether the participant is an end-user, partner or an employee working on the tool, our training and assessments will sculpt you to be successful in using these functionalities by employing Hadoop. Tekslate online training offers you a comprehensive way of learning Hadoop Administration and equips you in building a better career.

Hadoop Administration course is developed by the team of Hadoop Aministration experts having 10 years of experience in IT and 5 years in teaching Hadoop Administration.

What we promise at TekSlate:

1) We offer flexible timings unlike most other mediums of training, students can pick their own schedule according to their availability.

2) We offer free demo session, students can attend the demo session, asses the trainer and then join the course.

3) We offer the best Hadoop Administration Training course material and also share project scenarios which are similar to what you work when you go to the corporate environment.

4) We share Hadoop Aministration videos of each training session so that you can review them later as well. The videos developed by experts make it more easier for the learning professionals.

  • Centralized security administration for Hadoop Clusters. 
  • Hadoop data is used for faster, more repeatable KPI dashboards.

Hadoop Administration Online Training Curriculum

Learning Objects: In this session you will understand various Hadoop Components, Understand working of HDFS, Hadoop cluster modes, configuration files, and more.

Topics include: Introduction to Hadoop framework, HDFS File system, Hadoop Architecture, MapReduce Framework, A typical Hadoop Cluster, Hadoop Cluster Administrator: Roles and Responsibilities.

Practicals to be Covered: In this class you will clearly understand about, the  Hadoop 2.0 cluster setup and configuration, setting up Hadoop Clients using Hadoop 2.0 and resolve problems simulated from real-time environment.

Learning Objects: In this module you will understand the working of the secondary namenode, working with Hadoop distributed cluster.

Topics include: Understanding secondary namenode, working with Hadoop distributed cluster, Decommissioning or commissioning of nodes, understanding MapReduce, understanding schedulers and enabling them.

Practicals to be Covered: In this practical session we will clearly understand about,  the MapReduce programming model in context of Apache Hadoop administrator and schedulers.

Learning Objects: In this module you will gather insights around clusters planning and management and learn about the various aspects of new clusters.

Topics include: Planning the Hadoop Cluster, Hardware/Software considerations, Managing/Scheduling Jobs, Schedulers in Hadoop – FIFO & FAIR, Setup Queues and Pools for Jobs, Run MapReduce jobs, Cluster Monitoring/ Troubleshooting.

Practicals to be Covered: In this class we will talk aboutPlanning 2.0 cluster, understanding recommendations and comparing different distributions of Hadoop, understanding FIFO & FAIR,  and usage patterns and some examples from the world of big data.

Learning Objects: In this module you will learn about, day to day cluster administration tasks, balancing data in a cluster, protecting data by enabling trash.

Topics include: Configure Rack awareness, Hadoop Balancer, Setting up Secondary Namenode, Hadoop Backup, Whitelist and Blacklist data nodes, Add Storage to Datanodes, Setup Users and Quota’s, Diagnostics and Recovery.

Practicals to be Covered: In this class we will talsk about, Configure Rack awareness, Hadoop Balancer, Setting up Secondary Namenode, Hadoop Backup, Whitelist and Blacklist data nodes, Add Storage to Datanodes, Setup Users and Quota’s, Diagnostics and Recovery.

Learning Objects:  In this session, you will learn to setup Hadoop 2 with high availability, upgrading from  data from RDBMS into HDFS.

Topics include: Introduction to Hadoop 2.0, Understand YARN framework, Understand High Availability, Understand Federation, Introduction to Quorum Manager, Hadoop 2.0 Cluster setup, Deploying Hadoop 2.0 in pseudo-distributed mode, Deploy multi-node Hadoop 2.0 Cluster.

Practicals to be Covered: In this Practical class you will understand clearly about, Hadoop framework and deployind hadoop2.0 in pseudo-distributed mode.

Learning Objects: In this module you will understand about, Capacity Scheduler and Configuring HDFS HA.

Topics include: YARN Execution, YARN Workflow, MapReduce Job Configuration, Configure Capacity Scheduler, Configuring HDFS HA, Hadoop Log Management, Hadoop Auditing and Alerts.

Practicals to be Covered: In this practical session we will talk about, YARN Execution, and workflow and will also understand configuration of MapReduce function.


Learning Objects: In this module, you will understand about what is big data and Apache Hadoop, and also will about, how hadoop solves big data problems.

Topics include:  Introduction to big data, limitations of existing solutions, Hadoop architecture, Hadoop components and ecosystem, data loading & reading from HDFS, replication rules, rack awareness theory, Hadoop cluster administrator: Roles and responsibilities.

Practicals to be Covered: In this practical session we will talk about, , Hadoop data loading & reading mechanism and role of a Hadoop cluster administrator.

Learning Objects: This following session gives the introduction to Oozie, Pig Configuration.

Topics include: Introdution to Oozie/Configure Oozie, Introduction to Pig Scripting, Write Pig Scripts / Process Web logs using Pig, Introduction to Hive and Hbase.

Practicals to be Covered: In this practical session we will talk about pig scripting and processing web logs using pig.

Learning Objects: In this module you will understand about, Hive, HBase setup and Architecture.

Topics include: Hive Administration, HBase Architecture, HBase setup, HBase and Hive Integration, HBase performance optimization and tools.

Practicals to be Covered: In practical session we will talk about, Hive integration and HBase performance optimization tools.

Learning Objects: In this module we will learn about, Cloudera manager to setup Cluster, optimisations of Hadoop/Hbase/Hive performance.

Topics include: Look at performance tuning parameters, Intermediate phases of MapReduce, Tuning the intermediate phases, Hadoop Cluster installation using Cloudera Manager, Introduction to alternatives to the Hadoop HDFS and MapReduce.

Practicals to Covered: In this practical session  you will gain hands-on experience in how to setup Pig to use in local/distributed mode to perform data analytics.


Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics of Hadoop Admin Training. Tekslate also verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.

You will work on real world Best Hadoop Admin Online Training projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready.

Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience Hadoop Administration training by providing all the utilities required for the in-depth understanding of the course.


If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available if the participants are more than 2.


As we are one of the leading providers of Online training, We have customers from:

Popular cities of USA, like:

  • New York, Los Angeles, Chicago, Dallas, San Jose, Washington, and other predominant places.

Popular cities of Canada, like:

  • Toronto, Vancouver, Ottawa, etc.

Popular cities of India, like:

  •  Hyderabad, Pune, Bangalore, Chennai, Delhi and Mumbai.

Along with it, we also prevail our valuable online training in the places of UK, Australia, India and other parts of the world.

Hadoop Administration Certification

After the completion of Hadoop Administration training, it would be a priority point for a participant to achieve Certification as the corporate world accepts profile that is arrayed with technology certifications. Benefits of being certified in Hadoop Administration would be:

  • Distinguished as an expert in the IT market.
  • Racing in low competition area of the specific platform
  • Remunerated with an uncommon package.

For clear information, you need to visit the following site Hadoop Administration Certification.

Course Reviews


3949 ratings
      • Tekslate has been one of the finest global online learning portals with clear information and learning. I attended the Apache Spark Certification training. The best part is that they have provided IDE ...
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      • After a great research on available online courses, I have decided to opt Tableau Training from Tekslate, am quiet satisfied with that. Coursework is well calibrated to make student more comfortable w ...
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      • I have enrolled last month, and finished the course... As a working professional, they given me an exposure to the domain, but also helped to learn the cross technologies and develop an inclination to ...
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