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. Tables containing summary records calculated from the main fact tables






2. Data about the data






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






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






5. A synonym for Business Intelligence






6. A report created by an IT department user






7. Import data into a new database






8. Extract - Transform and Load






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






10. A group of related fact tables






11. Look-up tables referred to by fact tables






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






13. A group of conformed dimensions






14. 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)






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






16. Draws data from operational or external systems






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






18. A query created by a BI user






19. Dimensions which are shared by two or more facts






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






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






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






23. Third stage of building a data mart






24. The business applications






25. Take data from a source system






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






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






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






29. Online Analytical Processing






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






31. 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






32. A table containing foreign keys and values






33. 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)






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






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






36. These extend BI into automating and optimising processes






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






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






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






40. A schema where dimensions are only connected to facts






41. Requesting information about related facts






42. Used to support day-to-day operations






43. First stage of building a data mart






44. Second stage of building a data mart






45. An alternative term for a data warehouse






46. Requesting more information about a particular fact






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






48. Data accessible to the whole data warehouse






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






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