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. An alternative term for a data warehouse






2. Take data from a source system






3. Requesting information about related facts






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






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






6. Data about the data






7. A synonym for Business Intelligence






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






9. Look-up tables referred to by fact tables






10. Extract - Load and Transform






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






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






13. Requesting more information about a particular fact






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






15. Fourth stage of building a data mart






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






17. Fifth stage of building a data mart






18. A group of related fact tables






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






20. Draws data from operational or external systems






21. A report created by an IT department user






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






23. Second stage of building a data mart






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






25. A schema where dimensions are only connected to facts






26. Extract - Transform and Load






27. These extend BI into automating and optimising processes






28. First stage of building a data mart






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






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






31. A table containing foreign keys and values






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






33. 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)






34. A summary record for a specific reporting period






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






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






37. The operational systems - data warehouse and data marts






38. Third stage of building a data mart






39. A query created by a BI user






40. Dimensions which are shared by two or more facts






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






42. Used to support day-to-day operations






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






44. 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






45. The business applications






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






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






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






49. Draws data from a data warehouse






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