1. What is a data warehouse?
2. What is difference between drill & scope of analysis?
3. What is type 2 version dimension?
4. What is data warehouse architecture?
5. What is data analysis? Where it will be used?
6. What is a data mart?
7. What are the benefits of data warehousing?
8. What are data modeling and data mining? Where it will be used?
9. Where the Data cube technology is used?
10. What is the difference between dependent data warehouse and independent data warehouse?
11. What is Virtual Data Warehousing?
12. What is the difference between metadata and data dictionary?
13. What is a cube in data warehousing concept?
14. What are the different types of data warehousing?
15. What are the steps to build the data warehouse?
16. What is OLAP?
17. What is OLTP?
18. What are dimensions?
19. What are virtual cubes?
20. What are MOLAP cubes?
21. What is Dimensional Modeling?
22. What is VLDB?
23. What is degenerate dimension table?
24. What is a CUBE in data warehousing concept?
25. What is the difference between star and snowflake schemas?
26. What is loop in Data warehousing?
27. Briefly state different between data ware house & data mart?
28. What are ROLAP cubes?
29. What are HOLAP cubes?
30. What is the difference between OLAP and data warehouse?
31. What is a Cube and Linked Cube with reference to data warehouse?
32. What is junk dimension?
33. What is snapshot with reference to data warehouse?
34. What is active data warehousing?
35. Differences between star and snowflake schema?
36. Define schema hierarchy?
37. List out the OLAP operations in multidimensional data model?
38. What is roll-up operation?
39. What are dependent and independent data marts?
40. What is virtual warehouse?
41. Define indexing?
42. Explain regression in predictive modeling?
43. Explain statistical perspective in data mining?
44. Explain Bayesian classification.
2. What is difference between drill & scope of analysis?
3. What is type 2 version dimension?
4. What is data warehouse architecture?
5. What is data analysis? Where it will be used?
6. What is a data mart?
7. What are the benefits of data warehousing?
8. What are data modeling and data mining? Where it will be used?
9. Where the Data cube technology is used?
10. What is the difference between dependent data warehouse and independent data warehouse?
11. What is Virtual Data Warehousing?
12. What is the difference between metadata and data dictionary?
13. What is a cube in data warehousing concept?
14. What are the different types of data warehousing?
15. What are the steps to build the data warehouse?
16. What is OLAP?
17. What is OLTP?
18. What are dimensions?
19. What are virtual cubes?
20. What are MOLAP cubes?
21. What is Dimensional Modeling?
22. What is VLDB?
23. What is degenerate dimension table?
24. What is a CUBE in data warehousing concept?
25. What is the difference between star and snowflake schemas?
26. What is loop in Data warehousing?
27. Briefly state different between data ware house & data mart?
28. What are ROLAP cubes?
29. What are HOLAP cubes?
30. What is the difference between OLAP and data warehouse?
31. What is a Cube and Linked Cube with reference to data warehouse?
32. What is junk dimension?
33. What is snapshot with reference to data warehouse?
34. What is active data warehousing?
35. Differences between star and snowflake schema?
36. Define schema hierarchy?
37. List out the OLAP operations in multidimensional data model?
38. What is roll-up operation?
39. What are dependent and independent data marts?
40. What is virtual warehouse?
41. Define indexing?
42. Explain regression in predictive modeling?
43. Explain statistical perspective in data mining?
44. Explain Bayesian classification.
