Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 20 minutes. 2 minutes extra for reading the instructions.
  • 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. Allows multiple CPUs to process multiple queries simultaneously - providing scalability.






3. First stage of building a data mart






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






5. A table containing foreign keys and values






6. The operational systems - data warehouse and data marts






7. Extract - Transform and Load






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






9. Fifth stage of building a data mart






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






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






12. Requesting information about related facts






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






14. The business applications






15. A query created by a BI user






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






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






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






19. Take data from a source system






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






21. Online Analytical Processing






22. An alternative term for a data warehouse






23. Requesting more information about a particular fact






24. A summary record for a specific reporting period






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






26. Fourth stage of building a data mart






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






28. 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






29. A schema where dimensions are only connected to facts






30. Extract - Load and Transform






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






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






33. Import data into a new database






34. Dimensions which are shared by two or more facts






35. A group of related fact tables






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






37. Third stage of building a data mart






38. A report created by an IT department user






39. 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)






40. A synonym for Business Intelligence






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






42. Used to support day-to-day operations






43. These extend BI into automating and optimising processes






44. Draws data from operational or external systems






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






46. Data accessible to the whole data warehouse






47. Data about the data






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






49. A group of conformed dimensions






50. 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)