Big Data 101 (Archived)

How big is big and why does big matter and what does Apache Hadoop have to do with it? In this course come and see the big picture and leave with your eyes open.

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NOTE:  This is an archived version of this course. The Newest version is available HERE

About This Course

Get answers to fundamental questions such as: What is Big Data? How do we tackle Big Data? Why are we interested in it? What is a Big Data platform?

  • Gain insights on how to run better businesses and provide better service to customers.
  • Get recommendations on how to process big data on platforms that can handle the variety, velocity, and volume of data by using a family of components that require integration and data governance.
  • Learn why Big Data is NoHadoop (“not only Hadoop”) as well as NoSQL (“not only SQL”).

Course Syllabus

  • Module 1 - Big Data - Beyond the Hype
    1. Big Data Skills and Sources of Big Data
    2. Big Data Adoption
  • Module 2 - What is Big Data?
    1. Characteristics of Big Data - The Four V's
    2. Understanding Big Data with Examples
  • Module 3 - The Big Data Platform
    1. Key aspects of a Big Data Platform
    2. Governance for Big Data
  • Module 4 - Five High Value BDUse Cases
    1. Overview of High Value BDUse Cases
    2. Examples
  • Module 5 - Technical Details of Big Data Components
    1. Text Analytics and Streams
    2. Cloud and Big Data

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be audited as many times as you wish.

Recommended skills prior to taking this course

  • None


  • None

Course Staff

Glen Mules instructor, Introduction to Big Data

Glen R.J. Mules

Glen R.J. Mules is a Senior Instructor and Principal Consultant with IBM Information Management World-Wide Education and works from New Rochelle, NY. Glen joined IBM in 2001 as a result of IBM's acquisition of Informix Software. He has worked at IBM, and previously at Informix Software, as an instructor, a course developer, and in the enablement of instructors worldwide. He teaches courses in BigData (BigInsights and Streams), Optim, Guardium, and DB2, and Informix databases. He has a BSc in Mathematics from the University of Adelaide, South Australia; an MSc in Computer Science from the University of Birmingham, England; and has just completed a Ph.D. in Education (Educational Technology) at Walden University. His early work life was as a high school teacher in Australia. In the 1970s he designed, programmed, and managed banking systems in Manhattan and Boston. In the 1980's he was a VP in Electronic Payments for Bank of America in San Francisco and New York. In the early 1990's he was an EVP in Marketing for a software development company and chaired the ANSI X12C Standards Committee on Data Security for Electronic Data Interchange (EDI).