NOTE: This is an archived version of this course.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
- Big Data Skills and Sources of Big Data
- Big Data Adoption
- Module 2 - What is Big Data?
- Characteristics of Big Data - The Four V's
- Understanding Big Data with Examples
- Module 3 - The Big Data Platform
- Key aspects of a Big Data Platform
- Governance for Big Data
- Module 4 - Five High Value BDUse Cases
- Overview of High Value BDUse Cases
- Examples
- Module 5 - Technical Details of Big Data Components
- Text Analytics and Streams
- 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
Requirements
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).