Hadoop Admin Course Overview

The Hadoop admin training enables you to work with the versatile frameworks of the Apache Hadoop ecosystem. This Big Data administrator course covers Hadoop installation and configuration, computational frameworks for processing Big Data, Hadoop administrator activities, cluster management with Sqoop, Flume, Pig, Hive, Impala, and Cloudera.

Hadoop Admin Training Key Features

  • 56 hours of blended learning
  • Includes four real industry-based projects
  • Includes three simulation exams to test Hadoop administration skills
  • Lifetime access to self-paced learning
  • Dedicated mentoring session from industry experts

Skills Covered

  • Hadoop distributed file system
  • Hadoop architecture
  • Hadoop cluster deployment
  • Hadoop computational frameworks
  • Big Data concepts
  • Hive, HBase Spark, and Kafka
  • Cloudera manager

Benefits

By 2023, the Big Data analytics market is expected to reach $40.6 Billion, at a compound annual growth rate of 29.7-percent. With the world embracing digitalization, Big Data has a promising future. Professionals with expertise in Big Data have a high earning potential.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Annual Salary
    $93KMin
    $124KAverage
    $165KMax
    Source: Glassdoor
    Hiring Companies
    Amazon hiring for Big Data Architect professionals in Austin
    Hewlett-Packard hiring for Big Data Architect professionals in Austin
    Wipro hiring for Big Data Architect professionals in Austin
    Cognizant hiring for Big Data Architect professionals in Austin
    Spotify hiring for Big Data Architect professionals in Austin
    Source: Indeed
  • Annual Salary
    $81KMin
    $117KAverage
    $160KMax
    Source: Glassdoor
    Hiring Companies
    Amazon hiring for Big Data Engineer professionals in Austin
    Hewlett-Packard hiring for Big Data Engineer professionals in Austin
    Facebook hiring for Big Data Engineer professionals in Austin
    KPMG hiring for Big Data Engineer professionals in Austin
    Verizon hiring for Big Data Engineer professionals in Austin
    Source: Indeed
  • Annual Salary
    $58KMin
    $88.5KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Cisco hiring for Big Data Developer professionals in Austin
    Target Corp hiring for Big Data Developer professionals in Austin
    GE hiring for Big Data Developer professionals in Austin
    IBM hiring for Big Data Developer professionals in Austin
    Source: Indeed

Hadoop Admin Course Curriculum

Eligibility

There are growing job opportunities in Big Data and Hadoop. The course is ideal for systems administrators, IT managers, IT administrators and operators, IT systems engineers, data engineers and database administrators, data analytics administrators, cloud systems administrators, web engineers, and individuals who intend to design, deploy and maintain Hadoop clusters.
Read More

Pre-requisites

There are no pre-requisites to take up the Big Data Hadoop Administrator certification course. However, a basic understanding of mathematics and statistics is beneficial prior to starting this course.
Read More

Course Content

  • Big Data Hadoop Administrator Course

    Preview
    • Lesson 00 - Course Introduction

      05:41Preview
      • 0.001 Course Introduction
        05:41
    • Lesson 01 - Big Data and Hadoop - Introduction

      18:55Preview
      • 1.001 Big Data and Hadoop - Introduction
        18:00
      • 1.2 Quiz
      • 1.003 Key Takeaways
        00:55
    • Lesson 02 - HDFS Hadoop Distributed File System

      28:44
      • 2.001 Introduction to HDFS
        14:54
      • 2.002 Internal Architecture and HDFS Workflow
        12:36
      • 2.3 Quiz
      • 2.004 Key Takeaways
        01:14
    • Lesson 03 - Hadoop Cluster Setup and Working

      02:48:56Preview
      • 3.001 Hadoop Cluster Setup and Working
        01:32
      • 3.002 Demo Getting Virtualization software and Linux disc images
        03:21
      • 3.003 Demo Adding Machines to your VMBox
        02:58
      • 3.004 Demo Installing Linux into Machines
        14:07
      • 3.005 Demo Preparing your linux machines to Install Hadoop (Centos 6)
        24:32
      • 3.006 Demo Preparing your linux machine(Centos 6)
        10:32
      • 3.007 Demo Preparing your linux machines(Centos 7)
        07:27
      • 3.008 Cluster Management Solution
        13:13
      • 3.009 Demo Setting Apache Hadoop Cluster
        27:05
      • 3.010 Demo Writing data to cluster and checking replication status
        13:29
      • 3.011 Demo Setting up Linux machines in AWS EC2 to setup Cloudera Cluster
        30:05
      • 3.012 Demo Setting Cloudera Cluster on your machines in AWS EC2
        19:43
      • 3.13 Quiz
      • 3.014 Key Takeaways
        00:52
    • Lesson 04 - Hadoop Configurations and Daemon Logs

      46:14
      • 4.001 Hadoop Configurations and Daemon Logs
        27:02
      • 4.002 Hadoop Daemons or Roles
        17:22
      • 4.3 Quiz
      • 4.004 Key Takeaways
        01:50
    • Lesson 05 - Hadoop Cluster Maintenance and Administration

      02:02:45Preview
      • 5.001 Introduction
        25:55
      • 5.2 Demo - Commisioning Decommissioning of Datanodes in Cloudera Cluster
        07:08
      • 5.3 Demo - Decommissioning and commissioning nodes in Apache Hadoop Cluster
        16:54
      • 5.004 Balancing a Cluster
        06:59
      • 5.005 Managing Services
        12:49
      • 5.006 Managing Software Packages with Apache Hadoop
        19:31
      • 5.007 Managing Role Instances
        11:14
      • 5.008 Improvements in Hadoop Version 2
        19:59
      • 5.9 Quiz
      • 5.010 Key Takeways
        02:16
    • Lesson 06 - Hadoop Computational Frameworks

      49:35
      • 6.001 Computation Framework
        09:28
      • 6.002 MapReduce
        25:17
      • 6.003 YARN
        13:23
      • 6.4 Quiz
      • 6.005 Key Takeaways
        01:27
    • Lesson 07 - Scheduling: Managing Resources

      47:56
      • 7.001 Scheduling - Managing Resources
        19:03
      • 7.002 Capacity Scheduler
        27:51
      • 7.3 Quiz
      • 7.004 Key Takeaways
        01:02
    • Lesson 08 - Hadoop Cluster Planning

      21:12Preview
      • 8.001 Hadoop Cluster Planning
        11:30
      • 8.002 Cluster Setup Options
        08:24
      • 8.3 Quiz
      • 8.004 Key Takeaways
        01:18
    • Lesson 09 - Hadoop Clients and Hue Interface

      50:20Preview
      • 9.001 Hadoop Clients and Hue Interface
        14:16
      • 9.002 Overview of Hadoop User Experience (Hue)
        03:18
      • 9.003 Hue Application Interfaces
        13:49
      • 9.004 Demo Working with Hue
        17:12
      • 9.5 Quiz
      • 9.006 Key Takeaways
        01:45
    • Lesson 10 - Data Ingestion in Hadoop Cluster

      47:17Preview
      • 10.001 Data Ingestion in Hadoop Cluster
        16:31
      • 10.002 Structured Data Ingestion with Apache Sqoop
        08:08
      • 10.003 Demo Using Sqoop to Import Data into HDFS
        21:35
      • 10.4 Quiz
      • 10.005 Key Takeaways
        01:03
    • Lesson 11 - Hadoop Ecosystem ComponentsServices

      01:21:50
      • 11.001 Hadoop Ecosystem Components - Services
        20:52
      • 11.002 Demo Setting up Hive in Different Modes in Apache Hadoop Cluster
        18:54
      • 11.003 H-Base
        21:32
      • 11.004 Apache Kafka
        19:32
      • 11.5 Quiz
      • 11.006 Key Takeaways
        01:00
    • Lesson 12 - Hadoop Security

      01:12:02Preview
      • 12.001 Introduction
        10:38
      • 12.002 Implementation
        34:06
      • 12.003 Service Level Authorization
        09:54
      • 12.004 Demo Using Quotas to Control Amount of Data Written in HDFS
        15:23
      • 12.5 Quiz
      • 12.006 Key Takeways
        02:01
    • Lesson 13 - Hadoop Cluster Monitoring

      49:07Preview
      • 13.001 Hadoop Cluster Monitoring
        09:51
      • 13.002 Hadoop Cluster Monitoring Metrics
        38:07
      • 13.3 Quiz
      • 13.004 Key Takeaways
        01:09

Industry Project

  • Project 1

    Scalability Deploying Multiple Clusters

    Help a company set up a new cluster on a set of machines and test the new cluster's working and applications.

  • Project 2

    Working with Clusters

    This project includes designing steps for enabling/disabling HA for namenode and resource manager in CDH as well as adding a user and granting read access to your Cloudera cluster.

  • Project 3

    Data Ingestion and Usage

    Demonstrate your capabilities by ingesting data from external structured databases into HDFS, working on data on HDFS by loading it into a data warehouse package like Hive.

  • Project 4

    Securing Data and Cluster

    An organization wants to safeguard its data on multiple Hadoop clusters. Prevent data loss from accidental deletions and enable access to critical data if any cluster is down.

prevNext

Hadoop Admin Exam & Certification

  • 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%.

  • Do you provide any practice tests as part of this course?

    Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this free Big Data & Hadoop Administrator Exam Practice Test to understand the type of tests that are part of the course curriculum.

    Hadoop Admin Training FAQs

    • Why Learn Big Data Hadoop Administration?

       

      The world is experiencing a digital transformation, and it indicates that the field of Big Data and Data Analytics would remain in a boom in the future. Big data and analytics is evolving and it has the potential to meet your career expectations by offering you great job opportunities.

      Professionals working in this field have attractive salary prospects, with the average salary for data scientists being $116,000. Even the beginners in this field get high salaries, the average salary package being $92,000 per year.

      Why become Big Data Hadoop Administrator

    • What skills you learn with Hadoop Administrator Certification Training Course?

      Learners who take the Hadoop Administrator training course in Austin can learn the following:

      • 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
      • Understand security implementation to secure data and clusters.
      • 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 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

       

    • What are the objectives of this course?

      The Big Data and Hadoop Administrator course in Austin is designed for you to master the basic and advanced concepts of Big Data. You can explore all the technologies related to the Hadoop stack and components of the Hadoop Ecosystem.

      You will also learn the following concepts of Hadoop:

      • Its Distributed File System
      • Processing and computational framework
      • Vendor-specific distributions like Cloudera
      • Core Hadoop distributions
      • how to set up, protect, and monitor clusters and their components such as Pig, Sqoop, Hive, Impala, and Flume
      • Need for cluster management solutions

    • Who should take Big Data Hadoop Administrator Certification Training Course in Austin?

      There are growing job opportunities in the field of Big Data across the world. The following professionals are recommended to take the Hadoop Administration training in Austin and have an in-depth knowledge of Hadoop:

      • Data Engineers and database administrators
      • Data Analytics Administrators
      • Cloud Systems Administrators
      • Web Engineers
      • Systems administrators and IT managers
      • IT administrators and operators
      • Individuals who intend to design, deploy and maintain Hadoop clusters
      • IT Systems Engineers

    • What Big Data Projects will you complete during the Hadoop Admin Training?

       

      To complete the Hadoop Administration training course in Austin, applicants need to work on any one of the following two projects:

      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 block size of your cluster

      • Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others

      Applicants can also work on the following two projects to gain a hands-on learning experience in 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.

    • What are the System Requirements?

       

      Learners should have the following tools to run Hadoop:

      • 64-bit OS
      • 8GB RAM

      Simplilearn gives the necessary assistance in setting up a virtual machine with local access.

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

      The following modes of training are available for the Hadoop Administration training in Austin:

      • Online Self-Learning: consists of pre-recorded videos to be followed at a convenient pace.
      • Live Virtual Classroom or Online Classroom: Attend the instructor-led classes conducted through video conferencing saving the time

       

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

      Yes, the candidate is allowed to cancel his enrollment if necessary. The course price is returned after the deduction of the administration fee. For further details, our Refund Policy can be checked.


       

    • What payment options are available?

       

      Candidates can enroll for the Big Data and Hadoop Administration training in Austin by paying the course fee through:  

      • Visa Credit or Debit Card
      • PayPal
      • American Express
      • MasterCard
      • Diner’s Club

      An automatically generated receipt will be given to the candidate via email.

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

      The customer service representatives from Simplilearn can be contacted via the Contact Us form or the Live Chat option available on every page of Simplilearn website

    • Who are our instructors and how are they selected?

       

      Simplilearn has specific criteria for selecting the trainers who possess higher alumni rating. We ensure that the trainers are not only Big Data Hadoop certified, but also have 10+ years of teaching experience in the field of Hadoop Administration. Simplilearn appoints mentors after thorough profile screening and technical assessment along with a training demonstration.

    • 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.

    • What if I miss a class?

       

      Simplilearn provides Flexi-pass which comes with the benefit of both self-paced and online classroom training. Using the Flexi-pass for Big Data and Hadoop Administration training in Austin, candidates can attend 15 instructor-led sessions for a span of 90 days. The sessions are moderated by mentors who are domain experts with relevant industry experience.

    • Are there any group discounts for classroom training programs?

      Yes, we have group discount options for our training programs. 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 will give you more details.

    • What is Big Data and Hadoop?

      Big data refers to extensive data sets available to organizations; the goal is to leverage big data to make insightful organizational decisions. These data sets are so complex and broad that they can't be processed using traditional techniques. Hadoop is an open-source framework that allows you to efficiently store and process big data in a parallel and distributed environment. 
       

    • Who is a Hadoop Administrator?

      A Hadoop Administrator manages and administers the Hadoop clusters and all other resources throughout the Hadoop ecosystem. The job of a Hadoop Administrator is not visible to end-users. 
       

    • How can beginners learn big data and Hadoop?

      Hadoop is one of the leading edge technological frameworks that is being widely used for big data. Taking your first step towards big data is really challenging, which is why we believe you should become acquainted with the basics before pursuing your certification. Simplilearn maintains a collection of free resource articles, tutorials, and YouTube videos to help you to understand the Hadoop ecosystem. Our extensive course on Big Data and Hadoop Administrator will help prepare you for your future in big data.
       

    Our Austin Correspondence / Mailing address

    Simplilearn's Big Data and Hadoop Administrator Training in Austin, United States

    2021 Guadalupe Street, Suite 260 Austin, TX 78705 United States

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