In short
Big data refers to datasets too large or complex for traditional tools, usually described by volume (size), velocity (speed of arrival), variety (types of data) and veracity (reliability).
Key takeaways
- It often needs distributed storage and processing.
- Much of it is unstructured, such as text, images and sensor readings.
- Data quality and privacy controls are harder at this scale.
Where it's tested
ISC: Data Management & Governance — study notes, a five-minute revision sheet and practice questions.
Practise: 3 questions
Question 1 of 3 · 0 answered
Who is normally accountable for approving which users may access a particular set of financial data?