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Hadoop Administration Training Course

Hadoop Administration Professional Online Training Program is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Hadoop Administration.

  • 22000
  • 25000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 60 + Hrs Instructor LED Training
  • 35 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option
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What you will learn

  • Describe the fundamentals and components of Hadoop
  • Elucidate the features, architecture, security considerations of Hadoop Distributed File System (HDFS)
  • Provide an overview of Hadoop Ecosystem covering different tools for integration, analysis, data storage and retrieval
  • Understand the features, concepts, architecture of MapReduce
  • Plan, install, and configure Hadoop. Practice Hadoop security system and configure Kerberos Security
  • Manage and schedule jobs to be executed in Hadoop system.
  • Install and manage other Hadoop clusters including Pig, Hive, HBase, Sqoop, HDFS
  • Utilize best practices for deploying, managing, and monitoring Hadoop clusters

Requirements

  • No prerequisites are required for taking up this training. Though, having a basic knowledge of Linux can help.

Description

|| About Hadoop Administration Training Course

Hadoop Administration Professional online training equips you with the knowledge and skills to plan, install, configure, manage, secure, monitor, and troubleshoot Hadoop Eco System components and cluster. The Hadoop Admin course is a perfect blend of interactive lectures, hands-on practice, and job-oriented curriculum. This Big Data Hadoop training course gives you a comprehensive understanding on the successful implementation of real-life Hadoop for industry projects.

 

Hadoop Professional training course provides a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, BIT’s Hadoop Administrator training course is the best preparation for the real-world challenges faced by Hadoop administrators. This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required. A training in Hadoop Administration will help prepare you for the demands of the industry. New innovations in technology have made it mandatory for IT professionals to be on par with the latest developments. A Hadoop Administrator training will ensure that there is no skill gap between what you know and what the industry wants, thus making you a valuable employee. Furthermore, the demand for data analysts has seen a meteoric rise in the past few years, thus making certified Hadoop Administrators a niche resource.

Course Content

Live Lecture

·       Introduction to big data

·       Common big data domain scenarios

·       Limitations of traditional solutions

·       Hadoop Architecture

·       Hadoop 1.0 ecosystem and its Core Components

·       Hadoop 2.x ecosystem and its Core Components

·       Application submission in YARN

·       Hadoop Components and Ecosystem

·       Data loading & Reading from HDFS

·       Replication Rules

·       Rack Awareness theory

·       Practical Exercise
Live Lecture

·       Initial configuration required before installing Hadoop

·       Deploying Hadoop in a pseudo-distributed mode

·       Working of HDFS and its internals

·       Hadoop Server roles and their usage

·       Hadoop Installation and Initial configuration

·       Different Modes of Hadoop Cluster.

·       Deploying Hadoop in a Pseudo-distributed mode

·       Deploying a Multi-node Hadoop cluster

·       Installing Hadoop Clients

·       Understanding the working of HDFS and resolving simulated problems.

·       Hadoop 1 and its Core Components.

·       Hadoop 2 and its Core Components.

·       Replication rules

·       Hadoop Cluster Modes

·       NTP server

·       Practical Exercise
Live Lecture

·       OS Tuning for Hadoop Performance

·       Pre-requisite for installing Hadoop

·       Hadoop Configuration Files

·       Working with Hadoop distributed cluster

·       Stale Configuration

·       RPC and HTTP Server Properties

·       Properties of Namenode, Datanode and Secondary Namenode

·       Log Files in Hadoop

·       Deploying a multi-node Hadoop cluster

·       Decommissioning or commissioning of nodes

·       Different Processing Frameworks

·       Understanding MapReduce

·       Spark and its Features

·       Application Workflow in YARN

·       YARN Metrics

·       YARN Capacity Scheduler and Fair Scheduler

·       Understanding Schedulers and enabling them.

·       Service Level Authorization (SLA)

·       Practical Exercise
Live Lecture

·       Commissioning and Decommissioning of Node

·       HDFS Balancer

·       Namenode Federation in Hadoop

·       High Availability in Hadoop

·       .Trash Functionality

·       Checkpointing in Hadoop

·       Distcp

·       Disk balancer

·       Practical Exercise
Live Lecture

·       Key Admin commands like DFSADMIN

·       Safe mode

·       Importing Check Point

·       MetaSave command

·       Data backup and recovery

·       Backup vs Disaster recovery

·       Namespace count quota or space quota

·       Manual failover or metadata recovery.

·       Practical Exercise