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CS2032 DATA WAREHOUSING AND DATA MINING SURYA GROUP OF INSTITUTIONS SCHOOL OF ENGINEERING & TECHNOLOGY DEPARTMENT OF COMPUTER SCIENCE&ENGINEERING ACADEMIC YEAR 2011-2012 / ODD SEMESTER SUBJECT CODE\SUBJECT NAME: CS2032 \ DATA WAREHOUSING AND DATA MINING YEAR/SEM: IV/VII UNIT-2- BUSINESS ANALYSIS PART A (2 MARKS) 1. Define reporting tools. 2. Distinguish production reporting and desktop report writers. 3. Define managed query tools. 4. Define EIS tools. 5. Define OLAP tools. 6. List the special reporting options provided by Cognos Impromptu. 7. Define Information catalog. 8. Define custom templates. 9. Define Exceptional reporting. 10. Define pick lists and prompts. 11. List the types of frames. 12. Define multidimensional cube with an example. 13. Define dynamic sparse matrix handling. 14. Define roll_up with an example. 15. Define drill_down with an example. 16. Define slicing with an example. 17. Define dicing with an example. 18. Define pivoting with an example. 19. Define MOLAP. 20. Define ROLAP. 21. Define MQE. 22. Draw the MOLAP architecture. CS2032 DATA WAREHOUSING AND DATA MINING 23. Draw the ROLAP architecture. 24. Draw the MQE architecture. 25. Define plug-ins. 26. Define helper applications. PART B 1. Describe about five categories of decision support tools. 2. Describe briefly about the need for applications. 3. Describe Cognos Impromptu in detail. 4. Describe about the special reporting options of Cognos Impromptu . 5. Briefly explain about Frames. 6. Describe the need for OLAP. 7. Describe in detail about multidimensional data model. 8. List the OLAP guidelines. 9. Describe multidimensional versus multirelational OLAP. 10. Briefly explain about categories of OLAP tools. 11. Briefly explain about MOLAP. 12. Briefly explain about ROLAP. 13. Briefly explain about MQE. 14. Briefly explain about OLAP tools and the Internet. STAFF INCHARGE HOD