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






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






3. A query created by a BI user






4. A schema where dimensions are only connected to facts






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






6. Online Analytical Processing






7. First stage of building a data mart






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






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






10. The business applications






11. A summary record for a specific reporting period






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






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






14. The operational systems - data warehouse and data marts






15. These extend BI into automating and optimising processes






16. 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)






17. Draws data from a data warehouse






18. A synonym for Business Intelligence






19. Extract - Transform and Load






20. Import data into a new database






21. Draws data from operational or external systems






22. Second stage of building a data mart






23. Data accessible to the whole data warehouse






24. A group of conformed dimensions






25. Fifth stage of building a data mart






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






27. Requesting information about related facts






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






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






30. Extract - Load and Transform






31. Look-up tables referred to by fact tables






32. A table containing foreign keys and values






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






34. Third stage of building a data mart






35. Take data from a source system






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






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






38. 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






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






40. A group of related fact tables






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






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






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






44. Requesting more information about a particular fact






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






46. Dimensions which are shared by two or more facts






47. A report created by an IT department user






48. 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)






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






50. An alternative term for a data warehouse