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. Online Analytical Processing






2. Requesting information about related facts






3. Look-up tables referred to by fact tables






4. A summary record for a specific reporting period






5. Used to support day-to-day operations






6. An alternative term for a data warehouse






7. Third stage of building a data mart






8. The business applications






9. A schema where dimensions are only connected to facts






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






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






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






13. Draws data from operational or external systems






14. Data accessible to the whole data warehouse






15. 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






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






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






18. A group of conformed dimensions






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






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






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






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






23. Dimensions which are shared by two or more facts






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






25. Draws data from a data warehouse






26. Data about the data






27. Take data from a source system






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






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






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






31. First stage of building a data mart






32. 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)






33. A report created by an IT department user






34. A query created by a BI user






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






36. Requesting more information about a particular fact






37. 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)






38. Extract - Load and Transform






39. The operational systems - data warehouse and data marts






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






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






42. Import data into a new database






43. Fifth stage of building a data mart






44. A table containing foreign keys and values






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






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






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






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






49. Fourth stage of building a data mart






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