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Hadoop Administration Training Courses in Delhi NCR | Yami Services

Hadoop Administration

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Courses Overview

Become a Big Data Administrator by learning the concepts of Hadop and implementing Advanced Operations on the Hydop Cluster

This Hadop Administration Training course will provide you all the skills for successful work as a Hadoop Administrator. This Hadope admin certification course includes basic principles of headphones, headop cluster, HDFS, MapReads and HBS.


Installation of Hadoop and Hadoo Ecosystems

Establishment of Hadop components and ecosystem - Hive, Squaw, Pig, Scala and Spark

Introduction to Big Data Hadoop. Understanding HDFS & Mapreduce

Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS – The importance of Big Data, how Hadoop fit into the framework, Hadoop Distributed File System – Replications, Block Size, Secondary Name node, High Availability. YARN – Resource Manager, Node Manager. Lab 1: Working with HDFS

Deep Dive in Mapreduce

How to Work in Madrid, How Reducer Works, How Driver Works, Combiners, Partitions, Input Formats, Output Formats, Shuffle and Sort Lab 2: Writing Word Count Program

Hadoop Administration – Multi Node Cluster Setup using Amazon ec2

How to create a Hadoop cluster with 4 nodes, working with cluster and deploying a MapReduce job, how to write a MapReduce code and setting up the Cloudera Manager

Hadoop Administration – Cluster Configuration

Importance of configuration files, overview of configuration values ​​and parameters, parameters of the Harp Distribute file system, installation of Hadop environment, detailed configuration files such as 'Include' and ‘Exclude’, the directory structure and files of Name node and Data node, Edit log and File system image for Hadoop administration and maintenance. Hands-on Exercise: Performance tuning of MapReduce.

Hadoop Administration – Maintenance, Monitoring and Troubleshooting

Deploying Checkpoint Process, Working with Metadata, Data Backup, Safe Mode, Name Node Failure and Recovery Process, troubleshooting to see various problems, what to see, remove node and more, JMX tool for cluster Using best practices for using logs for monitoring and troubleshooting, working with stack marks, cluster monitoring Deploying various open source tools, how to deploy job schedulers, process of job submission flow in the Mepredas, scheduling of jobs on the same cluster, FIFO scheduling, proper scheduling configuration Exercise on Hand: Working with MapReduce File System Recovery

Securing Hadoop Cluster with Kerbrose and other Advance topics

Hdop Advanced Administration, Quorum Journal Manager, Acdifs security and configuring Hadop Federation, Hadop Platform Security Fundamentals, Hadop platform to process secure, integrated with the importance of Kerberos, Hadop platform, Hadop cluster configuration with Kerberos.

  • Duration: 40 Hrs
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