Big data
In this lesson, you'll learn what big data is, where it comes from, and how organisations use it to make better decisions.
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In this lesson
- 0:00 Big Data and Data Analytics Overview
- 0:46 Understanding Big Data Fundamentals
- 1:33 Three Main Sources of Big Data
- 3:02 The Five V's Characteristics Explained
- 5:00 Structured Versus Unstructured Data Types
- 7:17 Multiple Choice Question and Veracity Concept
About this lesson
You'll explore the five V's that define big data—volume, variety, value, veracity, and velocity—and understand the three main data sources: social or human data, machine or sensor data, and transactional data. The lesson also covers how data is structured (organised, semi-structured, or unstructured) and the practical applications and risks involved in analysing large datasets. This content is essential for performance management modules across CIMA and ACCA qualifications, where understanding data analytics and business intelligence is increasingly important. You'll work through real examples and multiple choice questions like those you'll encounter in the exam, building confidence in recognising and applying big data concepts to business scenarios. By the end, you'll be able to identify different types of big data, explain their characteristics, and understand why organisations invest in data analytics to gain competitive advantage.
Duration: 8m
Transcript
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