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






2. A group of related fact tables






3. Extract - Load and Transform






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






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






6. Data accessible to the whole data warehouse






7. A schema where dimensions are only connected to facts






8. A group of conformed dimensions






9. The business applications






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






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






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






13. A query created by a BI user






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






15. These extend BI into automating and optimising processes






16. Online Analytical Processing






17. Dimensions which are shared by two or more facts






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






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






20. Fifth stage of building a data mart






21. Second stage of building a data mart






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






23. Look-up tables referred to by fact tables






24. An alternative term for a data warehouse






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






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






27. 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






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






29. Draws data from operational or external systems






30. A table containing foreign keys and values






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






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






33. A report created by an IT department user






34. Requesting information about related facts






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






36. The operational systems - data warehouse and data marts






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






38. A summary record for a specific reporting period






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






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






41. Used to support day-to-day operations






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






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






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






45. Fourth stage of building a data mart






46. A synonym for Business Intelligence






47. Extract - Transform and Load






48. Third stage of building a data mart






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






50. 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)