Why Data Modelling Still Matters in the Era of Data Lakes

In this short video I go through 10 reasons why Data Models still matter.

1. Bringing Order to the Chaos

2. Performance Optimisation

3. Data Quality and Consistency

4. Interoperability with downstream systems

5. Data Lineage

6. Cross Team Collaboration

7. Facilitating Data Discovery

8. Future-proofing your architecture

9. Improving Query Accuracy

10. Hybrid Data Architectures

Data models continue to be an essential part of what we do. What other reasons can you think of?