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






2. A report created by an IT department user






3. The operational systems - data warehouse and data marts






4. A query created by a BI user






5. 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)






6. A group of related fact tables






7. An alternative term for a data warehouse






8. Used to support day-to-day operations






9. A table containing foreign keys and values






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






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






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






13. 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






14. Requesting information about related facts






15. Extract - Load and Transform






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






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






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






19. Data accessible to the whole data warehouse






20. Draws data from operational or external systems






21. Second stage of building a data mart






22. Draws data from a data warehouse






23. The business applications






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






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






26. 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)






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






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






29. Data about the data






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






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






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






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






34. Import data into a new database






35. Dimensions which are shared by two or more facts






36. Look-up tables referred to by fact tables






37. First stage of building a data mart






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






39. These extend BI into automating and optimising processes






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






41. Take data from a source system






42. Fifth stage of building a data mart






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






44. A group of conformed dimensions






45. Third stage of building a data mart






46. A synonym for Business Intelligence






47. Fourth stage of building a data mart






48. Requesting more information about a particular fact






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






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