Course description

  • 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.

Course preview

    • Lesson 00 - Course Introduction 05:41
      • 0.001 Course Introduction 05:41
    • Lesson 01 - Big Data and Hadoop - Introduction 18:55
      • 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 2:48:56
      • 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 2:02:45
      • 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 21:12
      • 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 50:20
      • 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 47:17
      • 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 1:21:50
      • 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 1:12:02
      • 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 49:07
      • 13.001 Hadoop Cluster Monitoring 09:51
      • 13.002 Hadoop Cluster Monitoring Metrics 38:07
      • 13.3 Quiz
      • 13.004 Key Takeaways 01:09
    • 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%.

Course advisor

Ronald van Loon
Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

Reviews

Peter Dao
Peter Dao Senior Technical Analyst at Sutter Health, Sacramento

The course provided an extensive lab and lecture.

Amit Goyal
Amit Goyal Houston

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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Suresh Chitithoti
Suresh Chitithoti Princ. DBA at Symantec, San Francisco

Excellent course! It was a good learning process.

Amit Kumar
Amit Kumar Houston

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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Steve Jacobs
Steve Jacobs Houston

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

Sharath Chandra Reddy Manchala
Sharath Chandra Reddy Manchala Hyderabad

The reason I enrolled in the Big Data Hadoop Developer course with Simplilearn Is the course structure was good and it had everything in detail. It also has excellent instructors. The learning gave me lot of opportunities and helped me in growing my career.

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Sanket Gujar
Sanket Gujar Senior Associate - Projects (Teradata DBA) at Cognizant, Pune

I had enrolled in SimpliLearn's Big data certification. The course content is very much aligned with market demands. The trainer and the customer support are very co-operative. All the online training materials and sessions are very helpful. Thanks for providing such a wonderful platform for learning.

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Manoj Nirale
Manoj Nirale Programmer Analyst at Cognizant, Hyderabad

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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Olga Barrett
Olga Barrett Career Advisor @ CV Wizard of OZ, Perth

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

FAQs

  • 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.

    Our Austin Correspondence / Mailing address

    106 East Sixth Street, Suite 900, Austin, Texas 78701, United States of America

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