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. Third stage of the data warehouse data architecture design process






3. Second stage of building a data mart






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






5. 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)






6. Used to support day-to-day operations






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






8. Draws data from operational or external systems






9. These extend BI into automating and optimising processes






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






11. A group of conformed dimensions






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






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






14. Requesting more information about a particular fact






15. A query created by a BI user






16. A group of related fact tables






17. Requesting information about related facts






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






19. 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






20. First stage of building a data mart






21. Look-up tables referred to by fact tables






22. Data about the data






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






24. Take data from a source system






25. Data accessible to the whole data warehouse






26. The operational systems - data warehouse and data marts






27. Fifth stage of building a data mart






28. Extract - Load and Transform






29. Third stage of building a data mart






30. 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)






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






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






33. The business applications






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






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






36. Import data into a new database






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






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






39. A report created by an IT department user






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






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






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






43. Extract - Transform and Load






44. A synonym for Business Intelligence






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






46. An alternative term for a data warehouse






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






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






49. Draws data from a data warehouse






50. Online Analytical Processing