In short
A data lake is a central repository that stores large volumes of raw data in its original format, whether structured, semi-structured or unstructured, until it is needed for analysis.
Key takeaways
- A data warehouse structures data before storing it; a data lake applies structure when the data is read.
- Without metadata and governance, a data lake becomes hard to search and trust.
- Access controls matter because raw data may include sensitive information.
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
How does a data lake differ from a data warehouse?