Hadoop Administration Training

At GKLM you will become an expert in Hadoop Administrator by getting your hands on Hadoop Cluster which will include monitoring Hadoop Distributed File System and Planning & Deployment. You will also learn Hadoop Ecosystem that consist of YARN, Map Reduce, HDFS, Cloudera Manager, Hadoop Cluster with Hive, HBase, Pig, Flume and from RDBMS using Sqoop. GKLM Tech Hadoop Administrator course is designed to supply an active expertise to put in, configure, and manage the Apache Hadoop platform. Understanding Integration of Hadoop Cluster with Hive, HBase, Pig, Flume and from RDBMS using Sqoop.


About The Course

Here you will learn Hadoop Admin:

GKLM Tech standard course content, training and certification addresses this issue, by delivering theoretical as well as hands-on facilities for professional to expertise themselves on Apache frameworks.

Course Objectives

During the Hadoop Administration Training

  1. Determining the correct hardware and infrastructure for your cluster
  2. Proper cluster configuration and deployment to integrate with the data center.
  3. Understanding of Big Data and Hadoop Ecosystem concepts.
  4. Monitoring the Hadoop Distributed File System.
  5. Configuration and deployment to integrate with the data center
  6. Allocation, distribution and resource management
  7. Hadoop Ecosystem.
  8. The internals of YARN, Map Reduce, HDFS and Cloudera Manager.
  9. Implementing High Availability, failover and recovery.
  10. Setting up Name Node Federation.
  11. Configuring the Fair Scheduler to provide service-level agreements for multiple users of a cluster.
  12. Security and up-gradation of Hadoop cluster.
  13. Understanding Integration of Hadoop Cluster with Hive, HBase, Pig, Flume and from RDBMS using Sqoop.
  14. Troubleshooting, diagnosing, tuning, and solving Hadoop issues.


  1. The introduction to Hadoop, its significance for Big Data applications, comparing it with traditional database management systems, the history of Hadoop, its various components and the Hadoop Architecture.
  2. Hadoop Distributed File System (HDFS) The overview of Hadoop Distributed File System, the architecture of HDFS, understanding how HDFS stores file in a distributed environment, the different Hadoop files systems failure components and the recoveries methodologies, understanding load-balancing in Hadoop cluster and block placement.
  3. Planning your Hadoop cluster Designing, configuring of multi-node Hadoop cluster, capacity management, replicating of HDFS block, rack awareness in Hadoop, understanding the network topology of the Hadoop cluster.
  4. Hadoop Deployment Hadoop installation steps, different types of Hadoop deployment, work profiling, best practices for disk, memory, and CPU allocations, understanding the distributed architecture of the Hadoop cluster.
  5. Detailed understanding of the working of HDFS, learning about the various operations in HDFS, various commands, how HDFS reads files, copying of data using distcp. Map reduce Abstraction Introduction to Map Reduce abstraction, learning how it works on large datasets and about MapReduce abstraction, the mapping and reducing functions, the various components of the MapReduce process, various terminologies used, an example of the Map Reduce process in real world.
  6. Hadoop Cluster Configuration Configuring of Hadoop in the cluster, the various parameters and values for configuration, learning the various parameters in HDFS and MapReduce, the configuration files in Hadoop environment, include and exclude configuration files, a real world introduction to MapReduce performance tuning.
  7. Hadoop Administration and Maintenance Introduction to Hadoop administration and maintenance, understanding the various directory structures and files, datanode and filenode, getting to know metadata and data backup, the various failure and recovery procedures, node addition and removal, maintaining Hadoop clusters, the MapReduce programming model, understanding of Schedulers.
  8. Hadoop Monitoring and Troubleshooting Hadoop cluster monitoring and troubleshooting, deploying stack traces and logs for Hadoop cluster monitoring and troubleshooting, the various Open Source tools for monitoring of Hadoop clusters.


At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
GKLM Tech Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz.

Contact Us


+91 9999160255    +91 8595181398

FAQ's


GKLM Tech is Hadoop Administrator course is designed to supply an active expertise to put in, configure, and manage the Apache Hadoop platform. Understanding Integration of Hadoop Cluster with Hive, HBase, Pig, Flume and from RDBMS using Sqoop.

Yes you will get proper guidance from our expertise if you face any kind of problem in understanding this course. They will provide you proper material and instruction to follow and learn this course.

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GKLM
  5476 Sona Place, Opp. Spark Mall,
Kamla Nagar, New Delhi, India

+91-9999160255   +91-8595181398

  tech.gklm@gmail.com
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