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. Tables containing summary records calculated from the main fact tables






2. Online Analytical Processing






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






4. Fifth stage of building a data mart






5. 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






6. Data about the data






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






8. Extract - Transform and Load






9. Take data from a source system






10. A group of related fact tables






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






12. An alternative term for a data warehouse






13. Requesting information about related facts






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






15. A summary record for a specific reporting period






16. A synonym for Business Intelligence






17. Second stage of building a data mart






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






19. Extract - Load and Transform






20. The operational systems - data warehouse and data marts






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






22. These extend BI into automating and optimising processes






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






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






25. First stage of building a data mart






26. Dimensions which are shared by two or more facts






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






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






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






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






31. Look-up tables referred to by fact tables






32. The business applications






33. A report created by an IT department user






34. Draws data from a data warehouse






35. 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)






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






37. Draws data from operational or external systems






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






39. A group of conformed dimensions






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






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






42. A table containing foreign keys and values






43. Requesting more information about a particular fact






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






45. Fourth stage of building a data mart






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






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






48. Used to support day-to-day operations






49. A schema where dimensions are only connected to facts






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)