Word Cloud "Big Data"

Big Data and Hadoop

Part 1 – Course Introduction

  •  Welcome
  •  Course Introduction
  •  Course Objectives
  • Course Overview
  • Course Overview (contd.)
  • Value to Professionals

 

Part 2 – Introduction to Big Data and Hadoop

  • Introduction to Big Data and Hadoop
  • Objectives
  • Data Explosion
  • Types of Data
  • Need for Big Data
  • Data – The Most Valuable Resource
  • Big Data and Its Sources
  • Three Characteristics of Big Data
  • Characteristics of Big Data Technology
  • Appeal of Big Data Technology
  • Leveraging Multiple Sources of Data
  • Traditional IT Analytics Approach
  • Big Data Technology – Platform for Discovery and Exploration
  • Big Data Technology – Capabilities
  • Big Data – Use Cases
  • Handling Limitations of Big Data
  • Introduction to Hadoop
  • History and Milestones of Hadoop
  • Organizations Using Hadoop

 

Part 3 – Getting Started with Hadoop update

  • Getting Started with Hadoop
  • Objectives
  • VMware Player – Introduction
  • VMware Player – Hardware Requirements
  • Steps to Install VMware Player

 

Part 4 – Hadoop Architecture

  • Objectives
  • Key Terms
  • Hadoop Cluster Using Commodity Hardware
  • Hadoop Configuration
  • Hadoop Core Services
  • Apache Hadoop Core Components
  • Hadoop Core Components – HDFS
  • Hadoop Core Components – MapReduce
  • Regular File System vs. HDFS
  • HDFS – Characteristics
  • HDFS – Key Features
  • HDFS Architecture
  • HDFS – Operation Principle
  • HDFS
  • File System Namespace
  • NameNode Operation
  • Data Block Split
  • Benefits of Data Block Approach
  • HDFS – Block Replication Architecture
  • Replication Method
  • Data Replication Topology
  • Data Replication Representation
  • HDFS Access
  • Business Scenario

 

Part 5 – Hadoop Deployment

  • Hadoop Deployment
  • Objectives
  • Ubuntu Server – Introduction
  • Installation of Ubuntu Server 12.04
  • Business Scenario

 

Part 6 – Introduction to MapReduce

  • Introduction to MapReduce
  • Objectives
  • MapReduce – Introduction
  • MapReduce – Analogy
  • MapReduce – Analogy (contd.)
  • MapReduce – Example
  • Map Execution
  • Map Execution – Distributed Two Node Environment
  • MapReduce Essentials
  • MapReduce Jobs
  • MapReduce Engine
  • MapReduce and Associated Tasks
  • MapReduce Association with HDFS
  • Hadoop Job Work Interaction
  • Characteristics of MapReduce
  • Real-Time Uses of MapReduce
  • Prerequisites for Hadoop Installation in Ubuntu Desktop 12.04
  • Steps to Install Hadoop
  • Business Scenario
  • Set up Environment for MapReduce Development
  • Small Data and Big Data
  • Uploading Small Data and Big Data
  • Demo Summary

Cloud Computing

Part 1 – Cloud Computing Concepts

  • What is cloud computing?
  • Case Study (Real Time)
  • What are three Service models? Explanation?
  • What are the three deployment models?
  • What is deployment in software industry?
  • What is Production Server in S/W industry?
  • What is Virtualization?
  • What is the difference between Virtualization and Cloud Computing?

 

Part 2 – Benefits of Cloud Computing?

  • What is a data center? (Real Time Example)
  • What is DR? How it works in S/S Industry (Real Time Example)
  • Disadvantages of Cloud Computing?
  • Cloud Industry Standard Architecture Explanation?
  • How are the top players in each Service model?
  • What is Salesforce and comes under what service model?
  • What is Salesforce.com, Force.com what is the difference between them?

 

Part 3 – Introduction to Force.com from Salesforce

  • Infrastructure as a service
  • Database as a service
  • Integration as a service
  • Logic as a service
  • UI as a service
  • Development as a service

 

Part 4 – Advantages of Cloud Computing

  • Cost model change (Capex to Opex only)
  • Reduction in cost of ownership (TCO)
  • On-demand scalability
  • Reliability
  • Shorter Time to Market
  • Ease of Use
  • Reduction in operation overheads

 

Part 5 – Cloud Service Providers Overview

  • Evolution of Cloud Computing
  • Describe how the Cloud will change today´s IT
  • Platform as a service: Google App Engine, Azure, Elastic Beanstalk

Hands-on Google Cloud SDK

  • Understand: What Google App Engine platform provides
  • Understand: Google App Engine features and data store concepts
  • Learn how to develop applications for Google App Engine
  • Learn how to deploy and manage applications on the app engine cloud

 

Part 6 – Characteristics of Cloud Computing

  • API based access
  • Cost
  • Device independence
  • Virtualization
  • Multitenancy

 

Part 7 – Cloud Components

  • Private Cloud: Eucalyptus, CloudStack, OpenStack, Open Nebula
  • Public Cloud: Amazon Web Services, Rackspace, GoGrid

Hands-on Public Cloud – Amazon ,Google Cloud and more..

Post your query here!