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. An alternative term for a data warehouse






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






3. Used to support day-to-day operations






4. Second stage of building a data mart






5. 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






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






7. Draws data from operational or external systems






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






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






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






11. A schema where dimensions are only connected to facts






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






13. These extend BI into automating and optimising processes






14. Import data into a new database






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






16. Data about the data






17. A table containing foreign keys and values






18. A synonym for Business Intelligence






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






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






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






22. Dimensions which are shared by two or more facts






23. 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)






24. Extract - Load and Transform






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






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






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






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






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






30. A group of related fact tables






31. A summary record for a specific reporting period






32. First stage of building a data mart






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






34. Fifth stage of building a data mart






35. 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)






36. Requesting more information about a particular fact






37. Requesting information about related facts






38. Online Analytical Processing






39. A query created by a BI user






40. A group of conformed dimensions






41. Draws data from a data warehouse






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






43. Extract - Transform and Load






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






45. Fourth stage of building a data mart






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






47. Third stage of building a data mart






48. A report created by an IT department user






49. Look-up tables referred to by fact tables






50. Data accessible to the whole data warehouse