What are the types of data architecture used in modern systems?
A system design question exploring knowledge of architectural patterns for data management.
Why Interviewers Ask This
Understanding data architecture is crucial for building scalable systems. This question tests high-level design thinking and knowledge of industry standards. It reveals the candidate's ability to plan for growth and efficiency.
How to Answer This Question
Discuss common architectures like Data Warehouses, Data Lakes, and Lakehouses. Explain the purpose of each and when to use them. Mention the evolution from siloed data to integrated platforms. Highlight the importance of scalability and security.
Key Points to Cover
- Define Data Warehouse
- Define Data Lake
- Explain Lakehouse concept
- Mention use cases
Sample Answer
Modern data architectures include Data Warehouses for structured analytics, Data Lakes for raw storage, and Lakehouses combining both. Warehouses are optimized for SQL queries, while lakes handle unstructured data. Lakehouses offer the best of both worlds, enabling real-time analytics and machine learning on a unified platform.
Common Mistakes to Avoid
- Confusing architecture types
- Ignoring scalability needs
- Focusing only on storage
- Lacking modern context
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