Data Engineering Lecture Summary

These flashcards cover key concepts in data architecture and engineering as discussed in the lecture.

What is Data Architecture?

A subset of enterprise architecture designed to support the evolving data needs of an enterprise.

What are One-Way Doors in decision-making?

Irreversible or expensive-to-reverse decisions requiring deep analysis and caution.

What are the principles of good data architecture?

1. Choose common components wisely; 2. Plan for failure; 3. Architect for scalability; 4. Architecture is leadership; 5. Always be architecting; 6. Build loosely coupled systems; 7. Make reversible decisions; 8. Prioritize security; 9. Embrace FinOps.

What does 'Flexibility reduces risks' refer to in data architecture?

Data architectures must adapt to new technologies, customer demands, and regulatory changes.

What is the difference between Single-Tenant and Multi-Tenant systems?

Single-Tenant systems have dedicated environments for each user, enhancing security; Multi-Tenant systems share environments, improving resource efficiency.

What is Event-Driven Architecture?

An architecture where actions trigger workflows in response to events, enhancing service independence and system resilience.

What is the Strangler pattern in brownfield projects?

A gradual approach to replace legacy components with new systems without a complete overhaul.

What does it mean to 'Architect for Scalability'?

Design systems that handle increased data volumes and user loads without major redesigns.

What is FinOps?

A cloud financial management discipline aligning technology, finance, and business teams to maximize business value.

What is the primary role of a Data Architect versus a Data Engineer?

Data Architects focus on leadership, mentorship, and technology choice, while Data Engineers implement and practice these architectures.