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. The business applications






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






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






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






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






6. The operational systems - data warehouse and data marts






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






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






9. Fourth stage of building a data mart






10. Take data from a source system






11. Look-up tables referred to by fact tables






12. These extend BI into automating and optimising processes






13. Draws data from a data warehouse






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






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






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






17. A summary record for a specific reporting period






18. Extract - Transform and Load






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






20. 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)






21. Data accessible to the whole data warehouse






22. Requesting information about related facts






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






24. A group of conformed dimensions






25. A table containing foreign keys and values






26. Import data into a new database






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






28. A group of related fact tables






29. Dimensions which are shared by two or more facts






30. 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)






31. Extract - Load and Transform






32. A synonym for Business Intelligence






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






34. Data about the data






35. An alternative term for a data warehouse






36. A report created by an IT department user






37. Used to support day-to-day operations






38. A schema where dimensions are only connected to facts






39. Draws data from operational or external systems






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






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






42. A query created by a BI user






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






44. First stage of building a data mart






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






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






47. 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






48. Fifth stage of building a data mart






49. Second stage of building a data mart






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