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 schema where dimensions are only connected to facts






2. The business applications






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






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






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






6. Import data into a new database






7. Extract - Load and Transform






8. Extract - Transform and Load






9. Take data from a source system






10. Fourth stage of building a data mart






11. 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)






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






13. Requesting information about related facts






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






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






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






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






18. Requesting more information about a particular fact






19. A synonym for Business Intelligence






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






21. A report created by an IT department user






22. A table containing foreign keys and values






23. The operational systems - data warehouse and data marts






24. Draws data from operational or external systems






25. Dimensions which are shared by two or more facts






26. Draws data from a data warehouse






27. Look-up tables referred to by fact tables






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






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






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






31. These extend BI into automating and optimising processes






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






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






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






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






36. Used to support day-to-day operations






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






38. Data about the data






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






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






42. Third stage of building a data mart






43. 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)






44. A group of related fact tables






45. First stage of building a data mart






46. Second stage of building a data mart






47. Data accessible to the whole data warehouse






48. An alternative term for a data warehouse






49. Online Analytical Processing






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