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This Big Data and Hadoop Administrator training course with furnish you with the aptitudes and methodologies necessary to excel in the Big Data Analytics industry. With this Hadoop Admin training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem, including Hadoop installation and configuration; cluster management with Sqoop, Flume, Pig, Hive and Impala and Cloudera; and Big Data implementations that have exceptional security, speed and scale.

Course Advisor

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.

 

Key Features 

32 hours of instructor-led training (for Live Virtual Classroom)

20 hours of self-paced video

Includes 4 real industry-based projects

Includes 3 simulation exams design to test Hadoop Admin skills

Mode of learning

Online self paced learning:


  • 180 days of access to high-quality, self-paced learning content designed by industry experts

 

USD 499

Live virtual classroom:


  • 90 days of access to 2+ instructor-led online training classes
  • 180 days of access to high-quality, self-paced learning content designed by industry experts
  • Flexible weekend class weekly

 

USD 999

Description

This 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.

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.

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

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 Curriculum

No curriculum found !

Curriculum

Big Data Hadoop Administrator Course

Course Introduction05:41

1.1 Big Data and Hadoop – Introduction18:00

1.2 Quiz

1.3 Key Takeaways00:55

2.1 Introduction to HDFS14:54

2.2 Internal Architecture and HDFS Workflow12:36

2.3 Quiz

2.4 Key Takeaways01:14

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

4.1 Hadoop Configurations and Daemon Logs27:02

4.2 Hadoop Daemons or Roles17:22

4.3 Quiz

4.4 Key Takeaways01:50

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

6.1 Computation Framework09:28

6.2 MapReduce25:17

6.3 YARN13:23

6.4 Quiz

6.5 Key Takeaways01:27

7.1 Scheduling: Managing Resources19:03

7.2 Capacity Scheduler27:51

7.3 Quiz

7.4 Key Takeaways01:02

8.1 Hadoop Cluster Planning11:30

8.2 Cluster Setup Options08:24

8.3 Quiz

8.4 Key Takeaways01:18

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

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

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

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

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

Live Virtual 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%.

 

 

FAQ

You can enroll for the training online. Upon successful payment you will receive an email from Yan Academy with an activation link to access the SimpliLearn online learning platform where all learnings are conducted. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.

  • Visa debit/credit card
  • American express and Diners club card
  • Master Card, or
  • PayPal

 

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.

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.

 

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.

 

 

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.

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.

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.

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