Hadoop Administration Fundamentals Course Overview


Hadoop Administration Fundamentals is a course designed to prepare learners to manage data systems based on the Apache Hadoop framework.
The course covers the concepts, tools, and techniques needed to configure, manage, and monitor Hadoop systems. It also covers the use of components such as Hive, Pig, Mahout, and Oozie.
The course is designed for students, engineers, and system administrators wanting to gain a deep understanding of the Hadoop ecosystem. Upon completion of the course, learners should be able to configure, deploy, and maintain Hadoop clusters, and use the associated components to manage and optimize data operations.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

You will learn:

Module 1: Introduction
  • Hadoop history and concept
  • Ecosystem
  • Distributions
  • High level architecture
  • Hadoop myths
  • Hadoop challenges (hardware/software)
  • Selecting software and Hadoop distributions
  • Sizing the cluster and planning for growth
  • Selecting hardware and network
  • Rack topology
  • Installation
  • Multi-tenancy
  • Directory structure and logs
  • Benchmarking
  • Concepts (horizontal scaling, replication, data locality, rack awareness)
  • Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, and DataNode)
  • Health monitoring
  • Command-line and browser-based administration
  • Adding storage and replacing defective drives
  • Parallel computing before MapReduce: compare HPC versus Hadoop administration
  • MapReduce cluster loads
  • Nodes and Daemons (JobTracker and TaskTracker)
  • MapReduce UI walk through
  • MapReduce configuration
  • Job config
  • Job schedulers
  • Administrator view of MapReduce best practices
  • Optimizing MapReduce
  • Fool proofing MR: what to tell your programmers
  • YARN: architecture and use
  • Hardware monitoring
  • System software monitoring
  • Hadoop cluster monitoring
  • Adding and removing servers and upgrading Hadoop
  • Backup, recovery, and business continuity planning
  • Cluster configuration tweaks
  • Hardware maintenance schedule
  • Oozie scheduling for administrators
  • Securing your cluster with Kerberos
  • The future of Hadoop
Live Online Training (Duration : 24 Hours) 900 + If you accept merging of other students. Per Participant
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

This Hadoop Administration Fundamentals Training course is suitable for those who meet the following prerequisites:
• Prior knowledge of Linux/Unix operating systems and basic commands like grep, sed, awk etc.
• An understanding of the fundamentals of relational databases and SQL.
• Working knowledge of Big Data technologies like Hadoop, Hive, and Pig.

Target Audience


The target audience for Hadoop Administration Fundamentals training is software engineers, system architects, administrators, and others with technical backgrounds who want to gain a better understanding of the principles and practices of managing Hadoop clusters
The training is also useful for advanced Hadoop developers, who may want to learn the concepts and technologies they need to design, develop, and implement Hadoop applications on a larger scale
Finally, experienced Hadoop professionals can use the training to obtain a more comprehensive overview of Hadoop and related big data systems
The training is designed to teach not just the technical aspects of running a Hadoop cluster, but also the frameworks, best practices, and ethical considerations necessary to work effectively with big data

Learning Objectives of Hadoop Administration Fundamentals


1. Understand and be able to confidently implement the architecture, importance and components of Hadoop Ecosystem.
2. Understand and be able to configure and manage all critical elements of the Hadoop Distributed File System (HDFS).
3. Understand how to write and deploy MapReduce jobs and workflows in the Hadoop cluster.
4. Learn to set up Hadoop YARN resource manager and deploy HDFS, Hive and HBase storage components.
5. Learn to use the Ambari UI to configure, manage and monitor all Hadoop components for cluster maintenance.
6. Understand the security measures for Hadoop Cluster and be able to implement best practices for Hadoop Security.
7. Learn to administer Hive, Sqoop and Flume for managing and processing data in the Hadoop Cluster.
8. Acquire roadmap for maintainability, scalability and reliability of Big Data cluster.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Feedback
Abu
United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh
United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias
United States
A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
United States
A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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FAQ's


1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
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You can request a refund if you do not wish to enroll in the course.
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Yes, we also offer weekend classes.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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You will receive the digital certificate post training completion via learning enhancement tool after registration.
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You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Courseware
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
No, it is not included.

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