Overview of Course

Learn Hadoop Administration from industry experts at Skillzcafe. This course provides a comprehensive understanding of Hadoop Architecture, Hadoop Distributed File System (HDFS), MapReduce, and other Hadoop ecosystem components. You will also learn to manage, monitor, and secure a Hadoop cluster.

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Course Highlights

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In-depth understanding of Hadoop Architecture

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Learn to manage, monitor & secure a Hadoop cluster

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Real-world projects to gain practical experience

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


Hadoop Architecture and Ecosystem


Hadoop Distributed File System (HDFS)


MapReduce and Hadoop Cluster Administration


Monitoring and Troubleshooting Hadoop Cluster


Security in Hadoop Cluster

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1-on-1 Training

On Request

  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request

  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes

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Course Reviews


  • History of Apache Hadoop and its trends
  • Components of Apache Hadoop
  • Understanding the Apache Hadoop daemons
  • Namenode
  • Secondary namenode
  • Jobtracker
  • Tasktracker
  • ResourceManager
  • NodeManager
  • Job submission in YARN
  • Introducing Cloudera
  • Introducing CDH
  • Responsibilities of a Hadoop administrator

  • Essentials of HDFS
  • Configuring HDFS
  • The read/write operational flow in HDFS
  • Writing files in HDFS
  • Reading files in HDFS
  • Understanding the namenode UI
  • Understanding the secondary namenode UI
  • Exploring HDFS commands
  • Commonly used HDFS commands
  • Commands to administer HDFS 
  • Getting acquainted with MapReduce
  • Understanding the map phase
  • Understanding the reduced phase
  • Learning all about the MapReduce job flow
  • Configuring MapReduce
  • Understanding the job tracker UI

  • Getting started with CDH
  • Understanding the CDH components
  • Apache Hadoop
  • Apache Flume NG
  • Apache Sqoop
  • Cloudera Hue
  • Pig UI
  • File Browser
  • Sqoop Jobs
  • Job Browser
  • Collection Manager
  • Hue Shell
  • HBase Browser
  • Installing CDH
  • Stopping Hadoop services
  • Understanding a YARN cluster
  • Installing the CDH components
  • Installing Apache Flume
  • Installing Apache Sqoop
  • Installing Apache Sqoop
  • Installing Apache Pig
  • Installing Apache Hive
  • Installing Apache Oozi

  • Implementing HDFS Federation
  • Configuring HDFS Federation
  • Configuring ViewFS for a federated HDFS
  • Implementing HDFS High Availability
  • The Quorum-based storage
  • Configuring HDFS high availability by the Quorum-based storage
  • Shared storage using NFS
  • Configuring HDFS high availability by shared storage using NFS
  • Configuring automatic failover for HDFS high availability
  • Jobtracker high availability
  • Configuring job tracker high availability
  • Configuring automatic failover for job tracker high availability

  • Introducing Cloudera Manager
  • Understanding the Cloudera Manager architecture
  • Installing Cloudera Manager
  • Navigating the Cloudera Manager Web console
  • Navigating the Home screen
  • Navigating the Clusters menu
  • Exploring the Hosts menu
  • Understanding the Diagnostics menu
  • Understanding the Audits screen
  • Understanding the Charts menu
  • Understanding the Backup menu
  • Understanding the Administration menu
  • Configuring High Availability using Cloudera Manager Summary

  • Understanding authentication and authorization
  • Introducing Kerberos
  • Understanding the Kerberos Architecture
  • Accessing a secure file server
  • Understanding important Kerberos terms
  • Installing Kerberos
  • Configuring the KDC Server
  • Testing the KDC installation
  • Configuring the Kerberos clients
  • Configuring Kerberos for Apache Hadoop
  • Configuring Kerberos principal for Cloudera Manager Server
  • Configuring the Cloudera Manager Server for Kerberos
  • Authorization in Apache Hadoop
  • Configuring access control lists in Hadoop

  • Configuring Hadoop services using Cloudera Manager
  • Adding a service to the cluster
  • Removing a service from the cluster
  • Role management in Cloudera Manager
  • Adding a role instance to a host
  • Adding a DataNode role to a host
  • Adding a TaskTracker role to a host
  • Managing hosts using Cloudera Manager
  • Adding a new host
  • Removing an existing host
  • Managing multiple clusters with Cloudera Manager
  • Rebalancing a Hadoop cluster from Cloudera Manager
  • Adding the Balancer service to the cluster
  • Rebalancing the cluster

  • Monitoring Hadoop services from Cloudera Manager
  • Understanding events and alerts
  • Configuring events and alerts
  • Configuring the alert delivery by an e-mail 
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Target Audience:

  • System Administrators
  • IT Professionals
  • Developers
  • Data Analysts
  • Anyone interested in learning Hadoop Administration
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  • Basic understanding of Linux Operating System
  • Familiarity with Java Programming Language
  • Basic understanding of SQL
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Benefits of the course:

  • Hands-on experience in Hadoop Administration
  • Learn from industry experts with real-world experience
  • Real-world projects to gain practical experience
  • Lifetime access to course materials
  • 24/7 support
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Exam details to pass the course:

  • There is no exam to pass the course.
  • However, you will need to complete the projects and assignments to receive a certificate of completion.
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Certification path:

  • There are no specific certifications needed to learn this course.
  • However, you can take the Cloudera Certified Administrator for Apache Hadoop (CCAH) exam after completing the course to become a certified Hadoop Administrator.
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Career options:

  • Hadoop Administrator
  • Big Data Administrator
  • Data Engineer
  • Cloud Administrator

Why should you take this course from Skillzcafe:


Why should you take this course from Skillzcafe:

  • Bullet Icon Industry experts with real-world experience as instructors
  • Bullet Icon Hands-on experience with real-world projects
  • Bullet Icon Lifetime access to course materials
  • Bullet Icon 24/7 support
  • Bullet Icon Affordable pricing


The course duration is 36 hours.

You will receive a certificate of completion after completing the course. However, you can take the Cloudera Certified Administrator for Apache Hadoop (CCAH) exam to become a certified Hadoop Administrator.

The course fee varies depending on the subscription plan you choose. Please visit our website for more details

No, you do not need to have prior experience in Hadoop or Big Data. However, a basic understanding of Linux Operating System, Java Programming Language, and SQL is recommended.

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