Big Data 101
list 5 sequences
assignment Level : Introductive
chat_bubble_outline Language : French
card_giftcard 1 point
Want to share this course in your company?
My Mooc
Users' reviews

Key information

credit_card Free access

About the content

How big is big and why does big matter and what does Apache Hadoop have to do with it? In this course you will see the Big Data big picture and you will learn the terminology used in Big Data discussions.

more_horiz Read more
more_horiz Read less


Module 1 - What is Big Data?
Characteristics of Big Data
What are the V’s of Big Data?
The Impact of Big Data

Module 2 - Big Data - Beyond the Hype
Big Data Examples
Sources of Big Data
Big Data Adoption

Module 3 - The Big Data and Data Science
The Big Data Platform
Big Data and Data Science
Skills for Data Scientists
The Data Science Process

Module 4 - BDUse Cases
Big Data Exploration
The Enhanced 360 View of a Customer
Security and Intelligence
Operations Analysis

Module 5 - Processing Big Data
Ecosystems of Big Data
The Hadoop Framework



Fireside Analytics Inc.
Shingai Manjengwa (@Tjido) is the Director of Insights and Analytics at Fireside Analytics Inc. An NYU Stern alum, she graduated from the Stern Business Analytics Masters program in 2014 and founded Fireside Analytics the following year. Fireside Analytics is a data analytics consulting company that makes data analytics and data science skills accessible to private sector companies, non-profits and education institutions. Fireside Analytics works with clients to build their data science capabilities and train their staff and stakeholders using customized case studies. Connect with us on Facebook, Twitter and LinkedIn.

This course has been adapted from the original version created by Glen R.J. Mules (below), a Senior Instructor and Principal Consultant with IBM Information Management World-Wide Education.

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).

Leons Petrazickis

Leons Petrazickis is the Ombud for Hadoop content on IBM Big Data U as well as the Platform Architect for Big Data U Labs. As a senior software developer at IBM, he uses Ruby, Python, and Javascript to develop microservices and web applications, as well as manage containerized infrastructure.


Content designer

Cognitive Class

Build the skills you need to advance your career and tackle the future, with our free Data Science and Cognitive Computing courses.

You are the designer of this MOOC?
What is your opinion on this resource ?