Hadoop Training | Hadoop Big Data Tutorial | KernelTraining | Self Paced

Hadoop Admin Training Self Paced

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Course Features

All registered candidates will have access to learning management system which in short is called as LMS. Here you will find useful stuff such as class recordings, which will help in your career. LMS access will expire after 5 Months, from the date of registration of online/self-paced course.


24x7 online support team is available to help you with any technical queries you may face during the course. All the queries are tracked as tickets and you will get a guaranteed response from a support engineer. If required, Live support is provided by the support team by accessing your machine remotely. This ensures that all your concern faced during labs and project work are clarified anytime.


Towards the end of this online course, you will be working on a project. Project will be reviewed by our expert panel. On completion of project you will get course completion certificate from Kernel Training. Feel free to contact us for any queries.

About Hadoop Admin Training (Self-Paced):

Hadoop is popularly known as open source framework use to handle huge amount of data. World requires Lakhs of data scientists in upcoming years. Lot of job opportunities are available in many MNC companies for the people who completed Hadoop training, this talent is in great demand. It is one of the fastest growing technologies meeting the needs of number of organizations.

Hadoop training course of KernelTraining provides you excellent opportunity for participants to learn about Hadoop cluster, installation, configuration and other important concepts such as HDFS, MapReduce, Pig, Hive, Yarn by real time experts. You can access number of Hadoop tutorials and can learn at your own pace. We are one of the leading provider of Hadoop training and course curriculum is prepared by experts.

What is Hadoop Admin Self-Paced Course?

After enrolling for Hadoop self-paced course you will have access to recorded sessions and other useful stuff. All recorded sessions are of real time experts. All these study materials, Hadoop tutorials, Hadoop interview questions, will help students to learn the course in their own pace. At any time from, any part of the World, students can access Hadoop self-paced course and learn number of important concepts. In case you have doubts, then you can ask our real time experts by following a procedure.

Hadoop Administration Course Target:

• In-depth concepts of MapReduce Framework.
• Performing Data Analytics by using Pig, Yarn and Hive.
• Understand implementation of Indexing.
• Learn best practices required for Hadoop development.
• Finding right hardware for cluster.
• By using Hadoop tutorial you can Learn integration by using HBase.
• Understand cluster configuration.
• To work on real time projects based on Big Data Analytics.
• By this Hadoop training you can Learn deployment, in order to integrate with Data center.
Hadoop Administration course audience:
• Graduates, System administrators, Software developers.
• Analytics, Data Warehousing, Business Intelligence, Software testing, Mainframe professionals.

Hadoop Admin Course Prerequisite:

• Familiar with Hadoop big data basics.
• Candidates with some prior experience with Core Java.

Hadoop Admin course curriculum:

1. Introduction to Hadoop architecture, Big Data and Hadoop
Goal set: In this module of Hadoop tutorial training, you can learn about basics of Hadoop, HDFS, MAP reduce, use cases of Hadoop.
Topics- In this module of Hadoop training you have topics: Introduction, History, Hadoop administration basics, Use Cases of Hadoop, Hadoop eco System, Hadoop Architecture, HDFS, Hadoop versions, advantages of Hadoop, Map Reduce statistics

2. Understanding the Cluster Administration
Goal set: After completion of this module of Hadoop big data, you can learn about typical workflow, Hadoop cluster, HDFS, Rac Awareness, Hadoop server and command line.
Topics: Introduction – Typical workflow, Writing files to HDFS & Reading files from HDFS, Rack Awareness, Understand- Hadoop Cluster, A typical, Cluster, Data Loading into HDFS, Cluster Administrator: Roles and Responsibilities, Understand – Hadoop server: roles and their usage, Hadoop administration commands, Rack Awareness, Anatomy of Write/ Read, Replication Pipeline, command line, Data Processing.

3. Map Reduce
Goal set- By the end of this module of Hadoop tutorial, module, you can learn about Map reduce, file formats, Driver, reducer code, Hadoop configuration, Algorithms of complex problems.
Topics- Introduction – Before Map reduce, Overview- Map Reduce Problem Word Count Fand Solution, Map Reduce Flow Simple problems, Algorithms for complex problems, developing the Map Reduce Application Data Type, File Formats, Explain – Driver, Mapper and Reducer code, Hadoop configuration development environment – Eclipse, writing Unit Test locally, yunning on Cluster, Hands on exercises.

4. How Map-Reduce Works
Goal set: In this module of Hadoop tutorial, you can learn about Anatomy of Map Reduce, task assignment, Input and output formats.
Topics – Introduction -mapreduce, Anatomy of Map Reduce Job run, Submission, Job Initialization, Task Assignment, Hadoop administration documentation, Completion, Scheduling, Job Failures, Shuffle and sort, Define Input Formats – Explanation – Input splits & records, text input, binary input, multiple inputs & database input, Definition – Output Formats -Explanation – text Output, binary output, multiple outputs, lazy output and database output, Hands on Exercises. Understand Counters, Sorting, Joins – Map Side and Reduce Side, Side Data Distribution, Combiner, Partitioner, Map Reduce Distributed Cache, Hands Exercises.

5. Hadoop Administration
Goal set- After completion of this module of Hadoop training, you will be able to understand installation concepts, MRV2, Hadoop cluster, Hadoop setup backup and recovery, Cluster configuration, Pig and Hive.
Topics- Concepts – Installation [SQOOP, Pig and pig Latin, HBASE, Hadoop 2.0, MRv2 and YARN Apache Flume], Fundamental- Hadoop Installation and Initial Configuration, Deployment Hadoop – in pseudo-distributed mode, a multi-node Hadoop cluster, Installing Clients, Configuring Secondary NameNode, YARN framework, MRv2, Hadoop 2.0 Cluster setup, Plan & Management – Hadoop Cluster, Cluster Size, Hardware and Software considerations, Managing and Scheduling Jobs, Types of schedulers, Configuring the schedulers, Cluster Monitoring and Troubleshooting, Configure Rack awareness, Understanding Hadoop setup- Backup & Recovery, White-list and blacklist data nodes in a cluster, upgrade Hadoop cluster, Copy data across clusters using distcp, Diagnostics and Recovery. Understand – Problem, Plan, Design, and Create a Hadoop Cluster for a Real World Use Case Setup. Configuration – Hadoop ecosystem components (Pig and Hive), Configure Ganglia on the Hadoop cluster and troubleshoot the common Cluster Problems, daemons.
2 Cluster: A Typical Case
3 Plan Your Cluster
4 Schedulers, [FIFO SCHEDULER, FAIR SCHEDULER, CAPACITY SCHEDULER] 5 Routine Admin Procedures
Backup and Recovery, Check pointing Tools, Upgrading, User Accounts & Quotes, Commissioning & Decommissioning nodes, Recover from Application level Problems, Trash Server, Safe node, Log Files
Admin use case.
Benchmarking the Cluster.
Understand how multiple Hadoop ecosystem components work together.
Implementation to solve Big Data problems.
Discuss data sets and specifications of the project.
Discussion regarding Hadoop configuration.
Discussion on one final real-time project presentation.

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Upcoming Batches

Course Features

All registered candidates will have access to learning management system which in short is called as LMS. Here you will find useful stuff such as class recordings, which will help in your career. LMS access will expire after 5 Months, from the date of registration of online/self-paced course.


24x7 online support team is available to help you with any technical queries you may face during the course. All the queries are tracked as tickets and you will get a guaranteed response from a support engineer. If required, Live support is provided by the support team by accessing your machine remotely. This ensures that all your concern faced during labs and project work are clarified anytime.


Towards the end of this online course, you will be working on a project. Project will be reviewed by our expert panel. On completion of project you will get course completion certificate from Kernel Training. Feel free to contact us for any queries.

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