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. 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)






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






3. A table containing foreign keys and values






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






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






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






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






8. Online Analytical Processing






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






10. 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






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






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






13. Requesting more information about a particular fact






14. First stage of building a data mart






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






16. Used to support day-to-day operations






17. Second stage of building a data mart






18. Fifth stage of building a data mart






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






20. Draws data from operational or external systems






21. Extract - Transform and Load






22. A report created by an IT department user






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






24. A schema where dimensions are only connected to facts






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






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






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






28. Fourth stage of building a data mart






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






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






31. Draws data from a data warehouse






32. A group of related fact tables






33. A synonym for Business Intelligence






34. Dimensions which are shared by two or more facts






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






36. 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)






37. The operational systems - data warehouse and data marts






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






39. Third stage of building a data mart






40. Requesting information about related facts






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






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






43. An alternative term for a data warehouse






44. Import data into a new database






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






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






47. The business applications






48. Look-up tables referred to by fact tables






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






50. Extract - Load and Transform