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






2. Requesting information about related facts






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






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






5. Import data into a new database






6. 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)






7. A group of conformed dimensions






8. Draws data from operational or external systems






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






10. A group of related fact tables






11. Take data from a source system






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






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






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






15. The business applications






16. A synonym for Business Intelligence






17. A schema where dimensions are only connected to facts






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






19. A report created by an IT department user






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






21. These extend BI into automating and optimising processes






22. Used to support day-to-day operations






23. A summary record for a specific reporting period






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






25. Second stage of building a data mart






26. Draws data from a data warehouse






27. Extract - Transform and Load






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






29. The operational systems - data warehouse and data marts






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






31. Data accessible to the whole data warehouse






32. Dimensions which are shared by two or more facts






33. 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)






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






35. First stage of building a data mart






36. Look-up tables referred to by fact tables






37. Online Analytical Processing






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






39. Data about the data






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






41. An alternative term for a data warehouse






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






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






44. Extract - Load and Transform






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






46. Fifth stage of building a data mart






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






48. 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






49. Requesting more information about a particular fact






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






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