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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. First stage of the data warehouse data architecture design process






2. Take data from a source system






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






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






5. Fifth stage of building a data mart






6. The operational systems - data warehouse and data marts






7. Extract - Transform and Load






8. A schema where dimensions are only connected to facts






9. Dimensions which are shared by two or more facts






10. Third stage of building a data mart






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






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






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






14. Data accessible to the whole data warehouse






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






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






19. Extract - Load and Transform






20. Import data into a new database






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






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






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






24. Draws data from operational or external systems






25. Second stage of building a data mart






26. A summary record for a specific reporting period






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






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






29. These extend BI into automating and optimising processes






30. A synonym for Business Intelligence






31. Data about the data






32. Used to support day-to-day operations






33. A group of related fact tables






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






35. A report created by an IT department user






36. 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)






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






38. The business applications






39. Draws data from a data warehouse






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






41. Requesting information about related facts






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






43. A table containing foreign keys and values






44. 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






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






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






47. Requesting more information about a particular fact






48. An alternative term for a data warehouse






49. Look-up tables referred to by fact tables






50. A group of conformed dimensions






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