Data warehousing Industry-Specific Questions

1. What are the key differences between OLAP and OLTP systems, and how do they influence data warehousing design?

2. Explain the star schema and snowflake schema. In what scenarios would you prefer one over the other?

3. Describe the ETL process and its significance in data warehousing. What tools have you used for ETL?

4. How do you handle slowly changing dimensions (SCD) in a data warehouse? Please explain the different types.

5. Can you discuss the role of metadata in data warehousing and how it impacts data management?

6. What strategies would you recommend for optimizing query performance in a data warehouse?

7. Describe how you would implement data partitioning in a large data warehouse environment, and discuss its benefits.

8. How do you ensure data quality and integrity in a data warehouse? What processes or tools do you use?

9. Explain the concept of data lake versus data warehouse. When would you use a data lake in conjunction with a data warehouse?

10. What are the challenges you might face when scaling a data warehouse, and how would you address them?