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. Look-up tables referred to by fact tables






2. First stage of building a data mart






3. 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)






4. Take data from a source system






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






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






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






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






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






10. A synonym for Business Intelligence






11. Data about the data






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






13. A schema where dimensions are only connected to facts






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






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






16. A group of conformed dimensions






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






18. Requesting more information about a particular fact






19. Dimensions which are shared by two or more facts






20. Fifth stage of building a data mart






21. Used to support day-to-day operations






22. Extract - Load and Transform






23. These extend BI into automating and optimising processes






24. Import data into a new database






25. 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






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






27. Draws data from a data warehouse






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






29. 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)






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






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






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






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






34. A query created by a BI user






35. A report created by an IT department user






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






37. A table containing foreign keys and values






38. Second stage of building a data mart






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






40. Data accessible to the whole data warehouse






41. The operational systems - data warehouse and data marts






42. Requesting information about related facts






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






44. The business applications






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






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






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






48. Online Analytical Processing






49. Fourth stage of building a data mart






50. Draws data from operational or external systems