Big Data and Cloud Computing Summer Training Program

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?

 

Part 3 – 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 4 – Cloud Service Providers Overview

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

Hands-on Amazon Web Services

  • Understand: What AWS platform provides
  • Understand: AWS features and  concepts
  • Learn how to develop applications for AWS
  • Learn how to deploy and manage applications on the app engine cloud

 

Part 5 – Characteristics of Cloud Computing

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

 

Part 6 – Cloud Components

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

 

Certification

  1. Certification from Techniche IIT Guwahati.
  2. International Certification from Robotech Labs Private Limited
  3. Internship Certificate with Project Letter

Centers

Noida – Robotech Labs , E 220 Sector 63 Noida

Duration : 50 Hours ( 15 Days/30 Days)

Fee : 9899/- (15 Days ) , 12899/- (30 Days)

 

How To Enroll

  1. Fill the Registration Form.
  2. Pay the registration fee. Pay Fees Now by Clicking this Link.
  3. Its done, the balance fee to be paid later
  4. Only 20 seats in a batch.

Accommodation

We will share with you the details of the PG’s and Guest House available in the vicinity. You can choose to book the PG/Hostel beforehand according to the facilities you need and your budget.

 

Summer Internship 2018

Register here


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