Exploring Big Data


This course provides an overview of big data. Through case studies, participants will be exposed to the concepts of Data-Driven-Decision (D3) making and Big Data Analytics, as well as the lifecycle and tools used in a data project. Key elements in managing large scale of data such as data storage and management, data analysis and visualization will be presented in a clear and easy-to-follow manner. Through theory and demonstration, the participants will gain familiarity with the basic terminologies, concepts, and understand various analytical tools used in data projects.

Learning Outcomes

Upon a successful completion of this course, participants will be able to:

  • Relate Big Data Analytics to real-world applications
  • Describe data analytics lifecycle in data projects
  • Identify the functions of various components and tools used in data analytics

Targeted Audiences

  • Technical & non-technical professionals
  • Business professionals

Course Duration

ONE (1) day



Course Contents


  • What is big data?
  • Why big data?
  • Challenges in adopting big data
  • Big data landscape

Data-driven-decision (D3) making

  • What is D3?
  • Asking the right questions
  • Approaches to finding answers

Data collection and management

  • Structured and unstructured data
  • Logistics and infrastructure
  • Hadoop ecosystem

Data presentation and analysis

  • Data analysis
  • Big data analytics
  • Data visualization

Data solution

  • Machine learning
  • Programming languages and software