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. Dimensions which are shared by two or more facts






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






4. An alternative term for a data warehouse






5. A schema where dimensions are only connected to facts






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






7. A synonym for Business Intelligence






8. Fourth stage of building a data mart






9. These extend BI into automating and optimising processes






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






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






12. Used to support day-to-day operations






13. A table containing foreign keys and values






14. Import data into a new database






15. A group of related fact tables






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






17. A report created by an IT department user






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






19. 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)






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






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






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






23. First stage of building a data mart






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






25. The operational systems - data warehouse and data marts






26. 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)






27. 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






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






29. Extract - Transform and Load






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






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






32. Data about the data






33. Requesting information about related facts






34. The business applications






35. Online Analytical Processing






36. Third stage of building a data mart






37. A query created by a BI user






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






39. Extract - Load and Transform






40. Draws data from a data warehouse






41. Draws data from operational or external systems






42. Data accessible to the whole data warehouse






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






44. Requesting more information about a particular fact






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






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






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






48. Fifth stage of building a data mart






49. A group of conformed dimensions






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