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 group of conformed dimensions






2. Requesting information about related facts






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






4. A report created by an IT department user






5. Online Analytical Processing






6. Second stage of building a data mart






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






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






9. A synonym for Business Intelligence






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






11. Draws data from a data warehouse






12. Requesting more information about a particular fact






13. A visual display of the most important information needed by a particular user






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






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






16. A schema where dimensions are only connected to facts






17. Look-up tables referred to by fact tables






18. Issues to consider when deciding EDW architecture: 1. Which database management system (DBMS) should be used? (ex: Crash Data" MS SQL) 2. Will ______________________ be used? 3. Will data migration tools be used to load the data warehouse?4. What too






19. Extract - Transform and Load






20. Draws data from operational or external systems






21. Third stage of building a data mart






22. The business applications






23. Used to support day-to-day operations






24. A summary record for a specific reporting period






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






26. First stage of building a data mart






27. Fifth stage of building a data mart






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






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






30. A logical design technique that presents data in a way that is optimised for high-performance access






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






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






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






34. An alternative term for a data warehouse






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






36. These extend BI into automating and optimising processes






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






38. Extract - Load and Transform






39. Fourth stage of building a data mart






40. Dimensions which are shared by two or more facts






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






42. A group of related fact tables






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






44. 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)






45. The operational systems - data warehouse and data marts






46. A table containing foreign keys and values






47. 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)






48. Data about the data






49. A query created by a BI user






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