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






2. Used to support day-to-day operations






3. A group of related fact tables






4. 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)






5. Third stage of building a data mart






6. These extend BI into automating and optimising processes






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






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






9. Requesting more information about a particular fact






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






11. A group of conformed dimensions






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






13. 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






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






15. An alternative term for a data warehouse






16. A query created by a BI user






17. Data about the data






18. Import data into a new database






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






20. A schema where dimensions are only connected to facts






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






22. Online Analytical Processing






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






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






25. Draws data from operational or external systems






26. A report created by an IT department user






27. Second stage of building a data mart






28. Extract - Load and Transform






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






30. Draws data from a data warehouse






31. A synonym for Business Intelligence






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






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






34. The business applications






35. Fifth stage of building a data mart






36. 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)






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






38. Requesting information about related facts






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






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






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






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






43. Take data from a source system






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






45. Look-up tables referred to by fact tables






46. Data accessible to the whole data warehouse






47. First stage of building a data mart






48. Dimensions which are shared by two or more facts






49. A table containing foreign keys and values






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