Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 30 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 query created by a BI user






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






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






4. Second stage of building a data mart






5. Take data from a source system






6. Extract - Transform and Load






7. Requesting information about related facts






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






9. Fifth stage of building a data mart






10. Third stage of building a data mart






11. Look-up tables referred to by fact tables






12. An alternative term for a data warehouse






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






14. A report created by an IT department user






15. These extend BI into automating and optimising processes






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






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






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






19. Used to support day-to-day operations






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






21. A summary record for a specific reporting period






22. First stage of building a data mart






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






24. A synonym for Business Intelligence






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






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






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






28. Import data into a new database






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






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






31. Dimensions which are shared by two or more facts






32. Extract - Load and Transform






33. Data accessible to the whole data warehouse






34. The business applications






35. Online Analytical Processing






36. A table containing foreign keys and values






37. A group of related fact tables






38. A schema where dimensions are only connected to facts






39. Data about the data






40. 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)






41. 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)






42. 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






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






44. Requesting more information about a particular fact






45. Fourth stage of building a data mart






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






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






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






49. A group of conformed dimensions






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