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 report created by an IT department user






2. Dimensions which are shared by two or more facts






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






4. Look-up tables referred to by fact tables






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






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






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






8. 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






9. Take data from a source system






10. Extract - Load and Transform






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






12. An alternative term for a data warehouse






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






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






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






16. A synonym for Business Intelligence






17. Extract - Transform and Load






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






19. Import data into a new database






20. Draws data from operational or external systems






21. Third stage of building a data mart






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






23. A table containing foreign keys and values






24. Data accessible to the whole data warehouse






25. Data about the data






26. A schema where dimensions are only connected to facts






27. Requesting information about related facts






28. A group of related fact tables






29. A query created by a BI user






30. A group of conformed dimensions






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






32. First stage of building a data mart






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






34. Used to support day-to-day operations






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






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 business applications






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






39. Requesting more information about a particular fact






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






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






42. Fifth stage of building a data mart






43. A summary record for a specific reporting period






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






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






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






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






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






49. Fourth stage of building a data mart






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)