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IBM

Big Data 101

IBM via Cognitive Class

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Overview

Get answers to fundamental questions such as: What is Big Data? How do we tackle Big Data? Why are we interested in it? How does Big Data add value to businesses?
  • Gain insights on how to run better businesses and provide better services to customers
  • Get recommendations on how to process big data on platforms that can handle the volume, velocity, variety and veracity of Big Data
  • Learn why Hadoop is a great Big Data solution and why it's not the only Big Data solution

Syllabus

  • Module 1 - What is Big Data?
    1. Characteristics of Big Data
    2. What are the V’s of Big Data?
    3. The Impact of Big Data
  • Module 2 - Big Data - Beyond the Hype
    1. Big Data Examples
    2. Sources of Big Data
    3. Big Data Adoption
  • Module 3 - The Big Data and Data Science
    1. The Big Data Platform
    2. Big Data and Data Science
    3. Skills for Data Scientists
    4. The Data Science Process
  • Module 4 - BDUse Cases
    1. Big Data Exploration
    2. The Enhanced 360 View of a Customer
    3. Security and Intelligence
    4. Operations Analysis
  • Module 5 - Processing Big Data
    1. Ecosystems of Big Data
    2. The Hadoop Framework

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