Description
This module introduces Big Data, a term which relates to the management and analysis of sets of data that are typically too large for traditional data-processing software.
Most businesses and organisations deal with large volumes of data on a day to day basis. It is what organisations do with the data that matters. Big data can be analysed for insights that lead to better decisions and strategic business moves.
This module is suitable for a wide range of candidates; for example, non-technical professionals who wish to build and demonstrate an understanding of Big Data, facilitating engagement with their technical colleagues or their suppliers, or students who wish to add general technical knowledge to sector-specific or general studies.
Main learning outcomes
The Big Data module consists of e-learning followed by a brief certification test. Together, these components deliver a short, focused professional development solution. On completion, candidates will be able to:
- understand the term big data and its evolution, and recognise drivers behind its expansion
- recognise key aspects of big data relating to storage technologies, analysis, and visualisation
- recognise examples of big data implementation in a range of sectors
- identify considerations for adoption of big data, including investment, practical challenges, business potential, and ethical issues
- recognise steps for exploiting big data in a specific scenario or situation
Module overview
| Category | Content |
|---|---|
| What is big data? |
|
| The big data environment |
|
| Big data in practice |
|
| Big data adoption |
|
