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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. Unlike independent data marts the marts are linked via middleware






3. A synonym for Business Intelligence






4. These extend BI into automating and optimising processes






5. A group of related fact tables






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






7. Look-up tables referred to by fact tables






8. Second stage of building a data mart






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






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






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






12. Requesting information about related facts






13. Draws data from operational or external systems






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






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






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






17. Draws data from a data warehouse






18. Requesting more information about a particular fact






19. First stage of building a data mart






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






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






22. A report created by an IT department user






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






24. The operational systems - data warehouse and data marts






25. A query created by a BI user






26. Third stage of building a data mart






27. An alternative term for a data warehouse






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






29. 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)






30. 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






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






33. Extract - Transform and Load






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






35. Dimensions which are shared by two or more facts






36. Online Analytical Processing






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






38. A table containing foreign keys and values






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






40. Data accessible to the whole data warehouse






41. A summary record for a specific reporting period






42. Take data from a source system






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






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






45. Fifth stage of building a data mart






46. Extract - Load and Transform






47. Used to support day-to-day operations






48. Data about the data






49. Import data into a new database






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






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