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. First stage of the data warehouse data architecture design process






3. Data about the data






4. A table containing foreign keys and values






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






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






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






8. Requesting more information about a particular fact






9. Data accessible to the whole data warehouse






10. Draws data from a data warehouse






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






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






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






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






15. Draws data from operational or external systems






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






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






18. Fourth stage of building a data mart






19. These extend BI into automating and optimising processes






20. The business applications






21. A query created by a BI user






22. Second stage of building a data mart






23. Extract - Transform and Load






24. 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






25. A group of conformed dimensions






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






27. A schema where dimensions are only connected to facts






28. Extract - Load and Transform






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






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






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






32. 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)






33. A synonym for Business Intelligence






34. A report created by an IT department user






35. First stage of building a data mart






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






37. Fifth stage of building a data mart






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






39. 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)






40. An alternative term for a data warehouse






41. The operational systems - data warehouse and data marts






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






43. Requesting information about related facts






44. Used to support day-to-day operations






45. Online Analytical Processing






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






47. Import data into a new database






48. Third stage of building a data mart






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






50. Dimensions which are shared by two or more facts