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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. Fourth stage of building a data mart






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






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






4. A schema where dimensions are only connected to facts






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






6. Look-up tables referred to by fact tables






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






8. An alternative term for a data warehouse






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






10. A table containing foreign keys and values






11. A report created by an IT department user






12. Third stage of building a data mart






13. A group of related fact tables






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






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






16. 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)






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






18. Fifth stage of building a data mart






19. Extract - Load and Transform






20. Data about the data






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






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






23. The business applications






24. Draws data from operational or external systems






25. Online Analytical Processing






26. Draws data from a data warehouse






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






28. A query created by a BI user






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






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






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






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






33. These extend BI into automating and optimising processes






34. Requesting information about related facts






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






36. Requesting more information about a particular fact






37. Take data from a source system






38. Import data into a new database






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






40. 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






41. Second stage of building a data mart






42. Extract - Transform and Load






43. 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)






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






45. First stage of building a data mart






46. A summary record for a specific reporting period






47. Used to support day-to-day operations






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






49. Dimensions which are shared by two or more facts






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






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