Big Data

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.

Build an understanding of the key concepts, and potential of Big Data implementation

Module overview

Category	Content
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

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

Why certify with ICDL?

ICDL certification is internationally recognised by employers and institutions.
ICDL Insights modules combine cutting- edge e-learning with a brief certification test to demonstrate your mastery of the relevant concepts and good practice.
ICDL Insights modules can be coupled with more comprehensive, skills-focused modules to build a profile of skills, knowledge, and competences that are relevant to your career.
ICDL syllabus content is vendor- independent so that skills, knowledge, and competence are transferable.
ICDL syllabus content is vendor- independent so that skills, knowledge, and competence are transferable.

Syllabus

The detailed syllabus for the Big Data module is publicly available, so that there is complete clarity about what is covered.

The syllabus document, which sets out the specific skills and knowledge that you will learn and against which you will be certified, can be downloaded here.

ICDL Insights Modules

New & Emerging Technology

Cloud Computing

Artificial Intelligence

Internet of Things (IoT)

Big Data

Blockchain

Get Certified

If you are an individual wishing to get ICDL certified, first step is to find an ICDL Accredited Test Centre near you.

Find a Test Centre

Offer ICDL at your Institution or Organisation

If you are interested in offering ICDL to students, candidates, clients or employees or if you are considering partnering with ICDL for a project or initiative, click on the appropriate button below.

Schools

Universities/Colleges

Training Providers

Employers

Partnerships