Free Demo Sessions: 29th Sept
PIMPLE SAUDAGAR :    Selenium(11:00 AM)   |    Angular JS (11:00 AM)   |    Hadoop (12:00 PM)   |    Python (2:00 PM)   |    DevOps (4:00 PM)   |    AWS(3:00 PM)   |    SAP FICO(5:00 PM)   |    Data Science(6:00 PM)   | DECCAN :    Selenium (10:30 AM)   |    Data Science (11:30 AM)   |    DevOps (11:00 AM)   |    Java (2:00 PM)   |    PHP (3:00 PM)   |    SAP MM (2:00 PM)   |    SAP FICO (3:00 PM)   |    AWS (3:00 PM)   |    Angular JS (4:00 PM)   |
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Hadoop Administrator

Book your Seat by a One-time Registration Fee of Rs.2000/-

Overview

Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage.

Course Features

  • Hands on Experience on One Live Project.
  • 100 % Placement Assistance
  • Resume Preparation
  • Interview Preparation
  • Missed Sessions Covered
  • Multiple Flexible Batches
  • Practice Course Material

Prerequisites

  • Candidate should have basic knowledge of Linux

Duration:

  • (40 hours)

Course Syllabus

Hadoop Administrator
  1. Hadoop Distributed File System & Installing Hadoop on Single Node
    • Understanding Bigdata
    • HDFS Architecture
    • HDFS internals and use cases
    • HDFS Daemons
    • Files and Blocks
    • Name Node Memory Concerns
    • Secondary Name Node
    • HDFS Access Options
    • Installing and Configuring Hadoop 2.0
    • Hadoop Daemons
    • Basic Hadoop Commands
  2. Hadoop Cluster Administrator: Roles and Responsibilities
    • Hands-on Exercise
    • Cloud Computing Overview and Installing Hadoop on Multiple Nodes
    • Cloud Computing Overview
    • SaaS/PaaS/IaaS
    • Characteristics of Cloud Computing
    • Cluster Configurations
    • Configuring Masters and Slaves
    • Introduction to HBase, Zookeeper & Sqoop
    • Overview of Zookeeper
    • Job Scheduling
    • Sqoop Overview and Installation
    • Importing and Exporting Data in Sqoop
    • Hands-on Exercise
  3. Advanced Administration Concepts
    • Hadoop Hardware Monitoring and Failures
    • Software Monitoring and Failures
    • Hadoop Cluster Monitoring
    • Adding and Removing Servers and Upgrading Hadoop
    • Backup, Recovery, and Business Continuity Planning
    • Cluster Configuration Tweaks
    • Hardware Maintenance Schedule
    • Oozie Scheduling for Administrators
    • The Future of Hadoop
    • Cloudera Installation
    • Cloudera Administration

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