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 single low-level fact representing a single business operation






2. Online Analytical Processing






3. An alternative term for a data warehouse






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






5. The business applications






6. Requesting information about related facts






7. A synonym for Business Intelligence






8. Fifth stage of building a data mart






9. Data about the data






10. A query created by a BI user






11. First stage of building a data mart






12. Used to support day-to-day operations






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






14. Data accessible to the whole data warehouse






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






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






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






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






19. Draws data from operational or external systems






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






21. A report created by an IT department user






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






23. Requesting more information about a particular fact






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






25. The operational systems - data warehouse and data marts






26. A group of conformed dimensions






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






28. Draws data from a data warehouse






29. A schema where dimensions are only connected to facts






30. Extract - Transform and Load






31. Import data into a new database






32. A table containing foreign keys and values






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






34. Dimensions which are shared by two or more facts






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






36. Fourth stage of building a data mart






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






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






39. Third stage of building a data mart






40. 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






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






42. 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)






43. 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)






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






45. A group of related fact tables






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






47. Extract - Load and Transform






48. Look-up tables referred to by fact tables






49. Take data from a source system






50. Second stage of building a data mart