/* */

Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 15 minutes.
  • If you are not ready to take this test, you can study here.
  • Match each statement with the correct term.
  • Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.

This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. A visual display of the most important information needed by a particular user






2. Third stage of the data warehouse data architecture design process






3. A computer system used to support the day-to-day operations of an organisation






4. Requesting more information about a particular fact






5. Splitting data tables into smaller tables for efficient access.






6. A single low-level fact representing a single business operation






7. The level of detail required for a fact to be useful






8. A simplified form of a data warehouse supporting the work of a single line of business






9. Look-up tables referred to by fact tables






10. A summary record for a specific reporting period






11. Draws data from a data warehouse






12. Make changes to data so that it is compatible with a new database






13. Most famous data warehouse where a maintable infastructure includes a centralized data warehouse that serves for the needs of all organizational units (most favored 39 percent)






14. An alternative term for a data warehouse






15. Import data into a new database






16. A report created by an IT department user






17. A database table that maps (e.g.) manufacturing product IDs to sales product IDs






18. Used to support day-to-day operations






19. Fourth stage of building a data mart






20. Dimensions which are shared by two or more facts






21. Extract - Load and Transform






22. First stage of the data warehouse data architecture design process






23. A tool that allows users to write queries without having to learn SQL






24. Requesting information about related facts






25. An operational system that provides data for a business information system






26. Take data from a source system






27. Fifth stage of building a data mart






28. A query created by a BI user






29. The operational systems - data warehouse and data marts






30. A schema where dimensions are only connected to facts






31. A synonym for Business Intelligence






32. A group of conformed dimensions






33. A daily snapshot for each day of a set period






34. Unlike independent data marts the marts are linked via middleware






35. Second stage of building a data mart






36. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.






37. Business applications - methods and tools that support the caputre and use of master data






38. Fourth stage of the data warehouse data architecture design process






39. Draws data from operational or external systems






40. A system that allows people to access and analyse data for business management and performance improvement






41. Tables containing summary records calculated from the main fact tables






42. First stage of building a data mart






43. A schema where dimensions may be connected to facts or to other dimensions






44. A group of related fact tables






45. These extend BI into automating and optimising processes






46. simplest and least costly architecture developed to operate independently of each other - poor solution






47. A table containing foreign keys and values






48. Third stage of building a data mart






49. All database architectural fall into one of these two categories: EDW or _________ (independent data marts - data mart bus architecture - hub and spoke architecture - centralized data warehouse - federated data warehouse)






50. Second stage of the data warehouse data architecture design process






//