IS 789 - Big Data Fundamentals and Techniques

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This course covers the concepts, techniques and systems of big data. It will explain the basics of big data, including its 5V characteristics, generic life cycle and pipeline of big data analytics. It will cover big data related techniques: big data storage/access, data partitioning, data parallelization, key-value pairs, functional programming and MapReduce. The techniques will be practiced through big data analytical projects on top of big data systems.
Course ID: 102701
Prerequisite: IS 620
Components: Lecture
Grading Method: Regular