Hadoop Administration Certification Training

Become a proficient Hadoop Administrator

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Key Highlights

  • 24 hours of Instructor-led Live Sessions
  • Complimentary Self-paced course of ?Linux Fundamentals?
  • 8 Weekend sessions, each of 3 hours duration
  • 12 Weekdays sessions, each of 2 hours duration
  • Case Studies on Real-life Scenarios
  • Lifetime Access to Learning Management System
  • Practice Assignments
  • 24X7 Expert Support
  • Online Forum for Discussions

Course Price Range

$349.00 - $349.00 $700.00 - $700.00

Contact Us

1866-216-7898

(Toll Free)

Available Courses Delivery

This course is available in the following formats:

Virtual Live

Access live online training from anywhere taught by expert instructors
Search and study from listed class recordings and materials
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Upcoming Batches


Nov 29th
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Delivery: Online
Access: Lifetime
Fri - Sat (4 Weeks)
Timings - 08:30 PM to 11:30 PM (EST)

Weekend Batch (Evening)
$700  $349
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Course Overview

Hadoop Administration certification training aims to train professionals in Hadoop architecture and its components. It teaches learners about the procedure followed while operating and upholding a Hadoop Cluster. It educates about the computational frameworks and managing resources.

Course Objectives

  • Train about concepts around Hadoop architecture and its components
  • Teach learners the method of planning and deploying a Hadoop Cluster
  • Make learners adept at Hadoop Distributed File System (HDFS)
  • Educate learners about MapReduce abstraction and its working
  • Equip learners with the techniques of troubleshooting cluster issues and recovery from node failures
  • Train learners in the concepts of Hive, Oozie, Sqoop, Flume, and Pig
  • Teach learners about the tools and techniques to optimize Hadoop cluster to upgrade the performance
  • Make learners adept at Hadoop Security and Cluster Monitoring

Career Benefits

  • Opportunity to work as Hadoop Administrator
  • Chance to work with Hadoop clients
  • Enhanced data analysis performance using simple programming
  • Multi-industry opportunities
  • High paycheck

Prerequisites

  • Basic understanding of Linux command line interface will be an added advantage

Who should take up?

  • Linux Administrators
  • Architects
  • System Administrators
  • IT Managers
  • Support Engineers
  • Database Administrators
  • Data Analytics Administrators
  • Cloud Systems Administrators
  • Windows Administrators
  • Infrastructure Administrators
  • Hadoop Developers
  • QA Professionals

Course Content

  • Introduction to big data
  • Common big data domain scenarios
  • Limitations of traditional solutions
  • What is Hadoop?
  • Hadoop 1.0 ecosystem and its Core Components
  • Hadoop 2.x ecosystem and its Core Components
  • Application submission in YARN
  • Distributed File System
  • Hadoop Cluster Architecture
  • Replication rules
  • Hadoop Cluster Modes
  • Rack awareness theory
  • Hadoop cluster administrator responsibilities
  • Understand working of HDFS
  • NTP server
  • Initial configuration required before installing Hadoop
  • Deploying Hadoop in a pseudo-distributed mode
  • OS Tuning for Hadoop Performance
  • Pre-requisite for installing Hadoop
  • Hadoop Configuration Files
  • Stale Configuration
  • RPC and HTTP Server Properties
  • Properties of Namenode, Datanode and Secondary Namenode
  • Log Files in Hadoop
  • Deploying a multi-node Hadoop cluster
  • Commisioning and Decommissioning of Node
  • HDFS Balancer
  • Namenode Federation in Hadoop
  • High Availabilty in Hadoop
  • Trash Functionality
  • Checkpointing in Hadoop
  • Distcp
  • Disk balancer
  • Different Processing Frameworks
  • Different phases in Mapreduce
  • Spark and its Features
  • Application Workflow in YARN
  • YARN Metrics
  • YARN Capacity Scheduler and Fair Scheduler
  • Service Level Authorization (SLA)
  • Planning a Hadoop 2.x cluster
  • Cluster sizing
  • Hardware, Network and Software considerations
  • Popular Hadoop distributions
  • Workload and usage patterns
  • Industry recommendations
  • Explain Hive
  • Hive Setup
  • Hive Configuration
  • Working with Hive
  • Setting Hive in local and remote metastore mode
  • Pig setup
  • Working with Pig
  • What is NoSQL Database
  • HBase data model
  • HBase Architecture
  • MemStore, WAL, BlockCache
  • HBase Hfile
  • Compactions
  • HBase Read and Write
  • HBase balancer and hbck
  • HBase setup
  • Working with HBase
  • Installing Zookeeper
  • Oozie overview
  • Oozie Features
  • Oozie workflow, coordinator and bundle
  • Start, End and Error Node
  • Action Node
  • Join and Fork
  • Decision Node
  • Oozie CLI
  • Install Oozie
  • Types of Data Ingestion
  • HDFS data loading commands
  • Purpose and features of Sqoop
  • Perform operations like, Sqoop Import, Export and Hive Import
  • Sqoop 2
  • Install Sqoop
  • Import data from RDBMS into HDFS
  • Flume features and architecture
  • Types of flow
  • Install Flume
  • Ingest Data From External Sources With Flume
  • Best Practices for Importing Data
  • Monitoring Hadoop Clusters
  • Hadoop Security System Concepts
  • Securing a Hadoop Cluster With Kerberos
  • Common Misconfigurations
  • Overview on Kerberos
  • Checking log files to understand Hadoop clusters for troubleshooting
  • Visualize Cloudera Manager
  • Features of Cloudera Manager
  • Build Cloudera Hadoop cluster using CDH
  • Installation choices in Cloudera
  • Cloudera Manager Vocabulary
  • Cloudera terminologies
  • Different tabs in Cloudera Manager
  • What is HUE?
  • Hue Architecture
  • Hue Interface
  • Hue Features

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