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 schema where dimensions may be connected to facts or to other dimensions






2. A summary record for a specific reporting period






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






4. A group of related fact tables






5. First stage of building a data mart






6. Fifth stage of building a data mart






7. 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)






8. A schema where dimensions are only connected to facts






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






10. Data about the data






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






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






13. Dimensions which are shared by two or more facts






14. Take data from a source system






15. Used to support day-to-day operations






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






17. Draws data from a data warehouse






18. 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






19. A table containing foreign keys and values






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






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






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






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






24. The business applications






25. Data accessible to the whole data warehouse






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






27. Import data into a new database






28. An alternative term for a data warehouse






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






30. The operational systems - data warehouse and data marts






31. 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)






32. Requesting more information about a particular fact






33. A group of conformed dimensions






34. A query created by a BI user






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






36. A synonym for Business Intelligence






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






38. Draws data from operational or external systems






39. Third stage of building a data mart






40. Look-up tables referred to by fact tables






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






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






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






44. Online Analytical Processing






45. Extract - Load and Transform






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






47. Extract - Transform and Load






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






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






50. Second stage of building a data mart






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