At a Glance

Spark provides a graph-parallel computation library in GraphX. Graph-parallel is a paradigm that allows representation of your data as vertices and edges. Spark's GraphX provides a set of fundamental operators in addition to a growing collection of algorithms and builders to simplify graph analytics tasks.

What will I get after passing this course?

• You will receive a completion certificate.
• You will receive the IBM Explorer - Big Data Foundations badge.

Course Syllabus

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

Recommended skills prior to taking this course

• None

Grading scheme

• The minimum passing mark for the course is 60%, where the review questions are worth 40% and the final exam is worth 60% of the course mark.
• You have 1 attempt to take the exam with multiple attempts per question.

Course Staff

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).