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  • 32 hours of instructor-led training
  • 20 hours of self-paced video
  • Includes 4 real industry-based projects
  • Includes 3 simulation exams design to test Hadoop Admin skills

Course description

  • What are the objectives of this course?

    The Simplilearn Big Data and Hadoop Administrator course will equip you with all the skills you’ll need for your next Big Data admin assignment. You will learn to work with Hadoop’s Distributed File System, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera. You will learn the need for cluster management solutions and how to set up, secure, safeguard and monitor clusters and their components such as Sqoop, Flume, Pig, Hive and Impala with this Big Data Hadoop Admin course

    This Hadoop Admin training course will help you understand the basic and advanced concepts of Big Data and all of the technologies related to the Hadoop stack and components of the Hadoop Ecosystem.

  • What skills will you learn?

    After completing this Hadoop Admin course, you will be able to:
    • Understand the fundamentals and characteristics of Big Data and various scalability options available to help organizations manage Big Data
    • Master the concepts of the Hadoop framework, including architecture, the Hadoop distributed file system and deployment of Hadoop clusters using core or vendor specific distributions
    • Use Cloudera manager for setup, deployment, maintenance and monitoring of Hadoop clusters
    • Understand Hadoop Administration activities and computational frameworks for processing Big Data
    • Work with Hadoop clients, nodes for clients and web interfaces like HUE to work with Hadoop Cluster
    • Use cluster planning and tools for data ingestion into Hadoop clusters, and cluster monitoring activities
    • Utilize Hadoop components within Hadoop ecosystem like Hive, HBase, Spark and Kafka
    • Understand security implementation to secure data and clusters.

  • Who should take this course?

    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
    • Systems administrators and IT managers
    • IT administrators and operators
    • IT Systems Engineers
    • Data Engineers and database administrators
    • Data Analytics Administrators
    • Cloud Systems Administrators
    • Web Engineers
    • Individuals who intend to design, deploy and maintain Hadoop clusters

  • What projects are included in this course?

    Successful evaluation of one of the following two projects is part of the Hadoop Admin certification eligibility criteria:

    Project 1
    Scalability: Deploying Multiple Clusters
    Your company wants to set up a new cluster and has procured new machines; however, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications.

    Project 2
    Working with Clusters
    Demonstrate your understanding of the following tasks (give the steps):
    • Enabling and disabling HA for namenode and resourcemanager in CDH
    • Removing Hue service from your cluster, which has other services such as Hive, Hbase, HDFS, and YARN setup
    • Adding a user and granting read access to your Cloudera cluster
    • Changing replication and blocksize of your cluster
    • Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others
    For additional practice we offer two more projects to help you start your Hadoop administrator journey:

    Project 3
    Data Ingestion and Usage
    Ingesting data from external structured databases into HDFS, working on data on HDFS by loading it into a data warehouse package like Hive, and using HiveQL for querying, analyzing, and loading data in another set of tables for further usage.

    Your organization already has a large amount of data in an RDBMS and has now set up a Big Data practice. It is interested in moving data from the RDBMS into HDFS so that it can perform data analysis by using software packages such as Apache Hive. The organization would like to leverage the benefits of HDFS and features such as auto replication and fault tolerance that HDFS offers.

    Project 4
    Securing Data and Cluster
    Protecting data stored in your Hadoop cluster by safeguarding it and backing it up.

    Your organization would like to safeguard its data on multiple Hadoop clusters. The aim is to prevent data loss from accidental deletes and to make critical data available to users/applications even if one or more of these clusters is down.

Course preview

    • Lesson 00 - Course Introduction 05:41
      • Course Introduction05:41
    • Lesson 01 - Big Data and Hadoop - Introduction 18:55
      • 1.1 Big Data and Hadoop - Introduction18:00
      • 1.2 Quiz
      • 1.3 Key Takeaways00:55
    • Lesson 02 - HDFS Hadoop Distributed File System 28:44
      • 2.1 Introduction to HDFS14:54
      • 2.2 Internal Architecture and HDFS Workflow12:36
      • 2.3 Quiz
      • 2.4 Key Takeaways01:14
    • Lesson 03 - Hadoop Cluster Setup and Working 2:48:56
      • 3.1 Hadoop Cluster Setup and Working01:32
      • 3.2 Demo1: Getting Virtualization software and Linux disc images03:21
      • 3.3 Demo2: Adding Machines to your VMBox02:58
      • 3.4 Demo3: Installing Linux into Machines14:07
      • 3.5 Demo4: Preparing your linux machines to Install Hadoop (Centos 6)24:32
      • 3.6 Demo5: Preparing your linux machine(Centos 6)10:32
      • 3.7 Demo6: Preparing your linux machines(Centos 7)07:27
      • 3.8 Cluster Management Solution13:13
      • 3.9 Demo7: Setting Apache Hadoop Cluster27:05
      • 3.10 Demo8: Writing data to cluster and checking replication status13:29
      • 3.11 Demo9: Setting up Linux machines in AWS EC2 to setup Cloudera Cluster30:05
      • 3.12 Demo10: Setting Cloudera Cluster on your machines in AWS EC219:43
      • 3.13 Quiz
      • 3.14 Key Takeaways00:52
    • Lesson 04 - Hadoop Configurations and Daemon Logs 46:14
      • 4.1 Hadoop Configurations and Daemon Logs27:02
      • 4.2 Hadoop Daemons or Roles17:22
      • 4.3 Quiz
      • 4.4 Key Takeaways01:50
    • Lesson 05 - Hadoop Cluster Maintenance and Administration 2:02:45
      • 5.1 Introduction25:55
      • 5.2 Demo - Commisioning Decommissioning of Datanodes in Cloudera Cluster07:08
      • 5.3 Demo - Decommissioning and commissioning nodes in Apache Hadoop Cluster16:54
      • 5.4 Balancing a Cluster06:59
      • 5.5 Managing Services12:49
      • 5.6 Managing Software Packages with Apache Hadoop19:31
      • 5.7 Managing Role Instances11:14
      • 5.8 Improvements in Hadoop Version 219:59
      • 5.9 Quiz
      • 5.10 Key Takeaways02:16
    • Lesson 06 - Hadoop Computational Frameworks 49:35
      • 6.1 Computation Framework09:28
      • 6.2 MapReduce25:17
      • 6.3 YARN13:23
      • 6.4 Quiz
      • 6.5 Key Takeaways01:27
    • Lesson 07 - Scheduling: Managing Resources 47:56
      • 7.1 Scheduling: Managing Resources19:03
      • 7.2 Capacity Scheduler27:51
      • 7.3 Quiz
      • 7.4 Key Takeaways01:02
    • Lesson 08 - Hadoop Cluster Planning 21:12
      • 8.1 Hadoop Cluster Planning11:30
      • 8.2 Cluster Setup Options08:24
      • 8.3 Quiz
      • 8.4 Key Takeaways01:18
    • Lesson 09 - Hadoop Clients and Hue Interface 50:20
      • 9.1 Hadoop Clients and Hue Interface14:16
      • 9.2 Overview of Hadoop User Experience (Hue)03:18
      • 9.3 Hue Application Interfaces13:49
      • 9.4 Demo Working with Hue17:12
      • 9.5 Quiz
      • 9.6 Key Takeaways01:45
    • Lesson 10 - Data Ingestion in Hadoop Cluster 47:17
      • 10.1 Data Ingestion in Hadoop Cluster16:31
      • 10.2 Structured Data Ingestion with Apache Sqoop08:08
      • 10.3 Demo Using Sqoop to Import Data into HDFS21:35
      • 10.4 Quiz
      • 10.5 Key Takeaways01:03
    • Lesson 11 - Hadoop Ecosystem ComponentsServices 1:21:50
      • 11.1 Hadoop Ecosystem Components/Services20:52
      • 11.2 Demo Setting up Hive in Different Modes in Apache Hadoop Cluster18:54
      • 11.3 H-Base21:32
      • 11.4 Apache Kafka19:32
      • 11.5 Quiz
      • 11.6 Key Takeaways01:00
    • Lesson 12 - Hadoop Security 1:12:02
      • 12.1 Introduction10:38
      • 12.2 Implementation34:06
      • 12.3 Service Level Authorization09:54
      • 12.4 Demo Using Quotas to Control Amount of Data Written in HDFS15:23
      • 12.5 Quiz
      • 12.6 Key Takeaways02:01
    • Lesson 13 - Hadoop Cluster Monitoring 49:07
      • 13.1 Hadoop Cluster Monitoring09:51
      • 13.2 Hadoop Cluster Monitoring Metrics38:07
      • 13.3 Quiz
      • 13.4 Key Takeaways01:09
    • Course Feedback
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Exam & certification FREE PRACTICE TEST

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:
    • Attend one complete batch.
    • Complete one project and one simulation test with a minimum score of 80%.
    Online Self-Learning:
    • Complete 85% of the course.
    • Complete one project and one simulation test with a minimum score of 80%.


The course provided an extensive lab and lecture.

Hadoop Admin course hits the spot with the content. I am a sys admin and wanted to move to Big Data Industry. Course immensely helped me to bridge the skills gap and become a Hadoop admin.

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Excellent course! It was a good learning process.

Excellent certification course for building job relevant skillsets as a Hadoop Administrator. Course material is very relevant, demos provided are understandable, great examples and can be easily related.

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A great value addition for anyone who is interested in becoming a Big data Hadoop Administrator.

Trainer has great insights into the subject. Brilliant way of explaining the concepts which could directly fit into your brain. Blessed to get trained by such a Hadoop Admin Trainer and thanks to Simplilearn for creating this platform.

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It's a very good class. The material is designed very well... I like your presentation and the style of teaching...


  • What are the System Requirements?

    To run Hadoop, your system must fulfill the following requirements:
    • 64-bit Operating System
    • 4GB RAM
    We will help you to set up a Virtual Machine with local access.

  • What are the modes of training offered for this course?

    We offer a flexible set of options:
    • Live Virtual Classroom or Online Classroom: Attend the course remotely from your desktop via video conferencing for better productivity and to reduce the time spent away from work or home.
    • Online Self-learning: Watch lecture videos online at your own pace.

  • Can I cancel my enrollment? Will I get a refund?

    We offer this training in the following mode:
    • Online Self-Learning: In this mode, you will receive the lecture videos and you can go through the course as per your convenience.
    • Live Virtual Classroom or Online Classroom: In online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format saves productivity challenges and decreases your time spent away from work or home.

  • Can I cancel my enrolment? Do I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • What payment options are available?

    Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.
    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

  • I’d like to learn more about this training program. Whom should I contact?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

  • Who are our instructors and how are they selected?

    All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty for the Big Data Hadoop Administration training program.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.