INTERVIEW QUESTION

1. What is source qualifier?
2. Difference between DSS & OLTP?
3. Explain grouped cross tab?
4. Hierarchy of DWH?
5. How many repositories can we create in Informatica?
6. What is surrogate key?
7. What is difference between Mapplet and reusable transformation?
8. What is aggregate awareness?
9. Explain reference cursor?
10. What are parallel querys and query hints?
11. DWH architecture?
12. What are cursors?
13. Advantages of de normalized data?
14. What is operational data source (ODS)?
15. What is meta data and system catalog?
16. What is factless fact schema?
17. What is confirmed dimension?
18. What is the capacity of power cube?
19. Difference between PowerPlay transformer and power play reports?
20. What is IQD file?
21. What is Cognos script editor?
22. What is difference macros and prompts?
23. What is power play plug in?
24. Which kind of index is preferred in DWH?
25. What is hash partition?
26. What is DTM session?
27. How can you define a transformation? What are different types of transformations in Informatica?
28. What is mapplet?
29. What is query panel?
30. What is a look up function? What is default transformation for the look up function?
31. What is difference between a connected look up and unconnected look up?
32. What is staging area?
33. What is data merging, data cleansing and sampling?
34. What is up date strategy and what are th options for update strategy?
35. OLAP architecture?
36. What is subject area?
37. Why do we use DSS database for OLAP tools?

Resources for Data Warehousing, DataMining & Business Intelligent

What is a data warehouse?

"A Data Warehouse is a repository of integrated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated....This makes it much easier and more efficient to run queries over data that originally came from different sources."