Big Data

Module 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.

TEST FORMAT

Contents & Skill Set

What is big data?

Definition of big data Key stages in the evolution of big data Key characteristics of big data, like: volume, velocity, variety, variability, veracity, value Trends driving the expansion of data, like: online, consumer and organisational activity, IoT Potential of big data for organisations

The big data environment

Common big data storage techniques and approaches to big data analysis Common approaches to big data visualisation

Big data in practice

Approaches to implementing big data in a variety of sectors

Big data adoption

Investment in resources and competences Challenges such as data quality and consistency, system compatibility Potential of providing big data as a service, selling analysis Ethical considerations such as governance, data protection Steps for exploiting big data in a given scenario

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

RELATED EXAMS

GCL 03

Advanced Diploma Level

Digital skills for computing, data processing & data management.

GECL.ORG

Global Professional Standard in Computing