How would you architect a fast, multi-dimensional analytics dashboard?
This tests your grasp of analytics architectures and trade-offs between pre-computation and real-time querying. A great answer clarifies needs, then proposes a hybrid model using an OLAP cube for core metrics and a columnar store for ad-hoc queries.
This tests your ability to design a modern analytics system by evaluating trade-offs between pre-computation (OLAP cubes) and real-time querying (columnar stores). A strong answer first clarifies latency, cardinality, and query pattern needs. Then, it proposes a hybrid model: an OLAP system for sub-second dashboards and a columnar warehouse for flexible exploration where higher latency is acceptable. The main red flag is advocating for one tool without quantifying trade-offs in cost, data freshness, and query flexibility.
Read the original → Wikipedia: Data warehouse
- #data architecture
- #analytics
- #olap
- #system design
- #big data
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.