Overview

Indicative content includes:

• Data Marts and Warehouses and how they manage data collections.
• Big Data and the 4 Vs (Volume, Variety, Velocity and Veracity).
• Data Quality, the meaning and methods to raise it.
• Data Mining, extracting meaning from data.
• Analysis Tools and processes used to describe and evaluate data collections.

Learning Outcomes

• Construct an appropriate data warehouse for a given data set.

• Critically discuss the various methods for storage large or Big Data data sets.

• Demonstrate skills to suitably sanitise a given data set.

• Explain the definitions and examples of the various types of analytical data.