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. Extract - Transform and Load






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






3. Data accessible to the whole data warehouse






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






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






6. Data about the data






7. A table containing foreign keys and values






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






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






10. Draws data from a data warehouse






11. Fourth stage of building a data mart






12. 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)






13. Take data from a source system






14. A schema where dimensions are only connected to facts






15. Requesting information about related facts






16. Look-up tables referred to by fact tables






17. 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






18. These extend BI into automating and optimising processes






19. Requesting more information about a particular fact






20. 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)






21. Extract - Load and Transform






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






23. Draws data from operational or external systems






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






25. A group of related fact tables






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






27. Third stage of building a data mart






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






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






30. Dimensions which are shared by two or more facts






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






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






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






34. Fifth stage of building a data mart






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






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






37. A group of conformed dimensions






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






39. A report created by an IT department user






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






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






42. The business applications






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






44. Used to support day-to-day operations






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






46. A summary record for a specific reporting period






47. A synonym for Business Intelligence






48. Second stage of building a data mart






49. Online Analytical Processing






50. First stage of building a data mart