36 Hrs
3297+ Enrollments
Hadoop Administration Training
This Hadoop Administration Training is designed to provide a deep understanding of Hadoop Architecture, Hadoop Distributed File System (HDFS), MapReduce, and other Hadoop ecosystem components. You will learn how to install, configure, manage, monitor, and secure a Hadoop cluster. The course is taught by industry experts with hands-on experience in Hadoop administration.
Hadoop Administration Training
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.
Course Highlights
In-depth understanding of Hadoop Architecture
Learn to manage, monitor & secure a Hadoop cluster
Real-world projects to gain practical experience
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
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
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- 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
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- System Administrators
- IT Professionals
- Developers
- Data Analysts
- Anyone interested in learning Hadoop Administration
Prerequisite:
- Basic understanding of Linux Operating System
- Familiarity with Java Programming Language
- Basic understanding of SQL
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
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.
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.
Career options:
- Hadoop Administrator
- Big Data Administrator
- Data Engineer
- Cloud Administrator
Why should you take this course from Skillzcafe:
Industry experts with real-world experience as instructors- Hands-on experience with real-world projects
- Lifetime access to course materials
- 24/7 support
- Affordable pricing
FAQs
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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