Explain a star schema and its advantages for analytics
Tests your grasp of data modeling trade-offs for OLAP vs. OLTP. A good answer defines fact/dimension tables, then explains how denormalization and fewer joins improve query speed for analytics. A red flag is confusing it with a snowflake schema.
This tests your grasp of data modeling trade-offs for analytics (OLAP) vs. transactional (OLTP) workloads. A great answer defines the central fact table (metrics) and surrounding dimension tables (attributes), then explains how this denormalized structure requires fewer joins, which dramatically speeds up large-scale aggregations. A red flag is only describing the structure without explaining the performance benefit.
Read the original → Wikipedia: Star schema
- #data modeling
- #sql
- #analytics
- #olap
- #database design
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