Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 30 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 single low-level fact representing a single business operation






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






3. Data accessible to the whole data warehouse






4. 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)






5. A group of related fact tables






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






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






8. Fifth stage of building a data mart






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






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






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






12. 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)






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






14. Dimensions which are shared by two or more facts






15. A group of conformed dimensions






16. Requesting information about related facts






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






18. Fourth stage of building a data mart






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






20. A summary record for a specific reporting period






21. Extract - Transform and Load






22. Look-up tables referred to by fact tables






23. Take data from a source system






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






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






26. First stage of building a data mart






27. An alternative term for a data warehouse






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






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






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






31. These extend BI into automating and optimising processes






32. Requesting more information about a particular fact






33. The business applications






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






35. Data about the data






36. Online Analytical Processing






37. The operational systems - data warehouse and data marts






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






39. A table containing foreign keys and values






40. Third stage of building a data mart






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






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






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






44. Second stage of building a data mart






45. Draws data from operational or external systems






46. A report created by an IT department user






47. 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






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






49. Extract - Load and Transform






50. A schema where dimensions are only connected to facts