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. Used to support day-to-day operations






2. Requesting more information about a particular fact






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






4. Draws data from operational or external systems






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






6. A synonym for Business Intelligence






7. First stage of building a data mart






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






9. Look-up tables referred to by fact tables






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






11. Data about the data






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






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






14. Fifth stage of building a data mart






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






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






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






18. 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)






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






20. Second stage of building a data mart






21. An alternative term for a data warehouse






22. The business applications






23. Extract - Transform and Load






24. Take data from a source system






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






26. Third stage of building a data mart






27. A schema where dimensions are only connected to facts






28. Fourth stage of building a data mart






29. Requesting information about related facts






30. A report created by an IT department user






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






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






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






34. 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






35. Draws data from a data warehouse






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. A summary record for a specific reporting period






38. A group of related fact tables






39. A table containing foreign keys and values






40. Extract - Load and Transform






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






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






43. These extend BI into automating and optimising processes






44. A query created by a BI user






45. Dimensions which are shared by two or more facts






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






47. Import data into a new database






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






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






50. The operational systems - data warehouse and data marts