Big Data and Hadoop Administrator Course

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Hadoop Administration Training Faculty : Real-time experience

Methodology:

Lucidtechsystems Manage risk and reduce compliance costs with end-to-end processes for compliance, governance, and risk. Class discussion, class assignments, A/V presentation, real-life experience, classroom exercises, and self-study.

Highlights In Our Hadoop Administration Training Service:

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Also,see HADOOP developer training course.

Course Agenda

Lesson 01—Introduction to Big Data and Hadoop

  • Introduction to Big Data
  • Introduction to Hadoop
  • Why Hadoop
  • Hadoop & Traditional RDBMS
  • Components of Hadoop & Hadoop Architecture
  • History and uses of Hadoop

Lesson 02—Planning Hadoop Cluster

  • Overview of Hadoop Clusters
  • Planning your Hadoop Cluster
  • Overview of Hardware and other Network configurations
  • Network Topology for Hadoop Clusters
  • Overview of Cluster Management

Lesson 03—Hadoop Installation and Configuration

  • Overview of various deployment types
  • Installing and configuring Hadoop
  • Configuring a single node Hadoop Cluster
  • Configuring a multi-node Hadoop Cluster
  • Checking the correctness of Hadoop installation
  • Demos:
    • Install Ubuntu Server 12.04
    • Hadoop 1.0 in Ubuntu Server 12.04
    • Create a Clone of Hadoop Virtual Machine
    • Perform Clustering of the Hadoop Environment
    • Install Hadoop 2.0 in Ubuntu Server 12.0

Lesson 04—Advanced Cluster Configuration Features

  • Hadoop configuration overview and important configuration file
  • Configuration parameters and values
  • HDFS parameters MapReduce parameters
  • Hadoop environment setup
  • ‘Include’ and ‘Exclude’ configuration files
  • Demo: Configuration Settings of Hadoop
    • Lab Exercise

Lesson 05—Hadoop Distributed File System

  • Introduction to HDFS
  • Overview of HDFS Architecture
  • Overview of HDFS Storage mechanisms
  • Overview of HDFS Rack
  • Writing and reading files from HDFS
  • Understanding the important commands of HDFS
  • Introduction to Squoop
  • Installing and configuring Sqoop
  • Demos: o Install Sqoop o HDFS Demo
    • Lab Exercise Lesson

06—Overview of MapReduce and YARN

  • Introduction to MapReduce
  • MapReduce Architecture and working with MapReduce
  • Development and Libraries of Map Reduce
  • MapReduce components failures and recoveries
  • Introduction to YARN
  • YARN Architecture
  • Installing and configuring YARN
  • Working with YARN & YARN Web UI

Lesson 07—Important Hadoop Components

  • Understanding Hive
  • Installing and configuring Hive
  • Understanding Pig
  • Installing and configuring Pig
  • Understanding Impala
  • Installing and configuring Impala
  • Demos: o Install Hive o Install Pig
  • Lab Exercises Lesson

08—Hadoop Administration and Maintenance

  • Namenode/Datanode directory structures and files
  • File system image and Edit log
  • The Checkpoint Procedure
  • Namenode failure and recovery procedure
  • Safe Mode
  • Metadata and Data backup
  • Potential problems and solutions / what to look for
  • Adding and removing nodes
  • Lab Exercise

Lesson 09—Hadoop Ecosystem Components

  • Ecosystem Component: Ganglia o Install and Configure Ganglia on a Cluster o Configure and Use Ganglia o Use Ganglia for Graphs
  • Ecosystem Component: Nagios o Nagios Concepts o Install and Configure Nagios on Cluster o Use Nagios for Sample Alerts And Monitoring
  • Ecosystem Component: Sqoop o Install and Configure Sqoop on Cluster o Import Data From Oracle/Mysql to Hive
  • Overview of Other Ecosystem Components: o Oozie o Avro o Thrift o Rest o Mahout o Cassandra o YARN o MR2
  • Hadoop Security
  • Kerberos and Hadoop
  • Why is Hadoop Security Important?
  • Hadoop’s Security System Concepts
  • What Kerberos is and How it Works?
  • Configuring Kerberos Security
  • Securing a Hadoop Cluster with Kerberos
  • Lab Exercise

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