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. A synonym for Business Intelligence






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






3. A summary record for a specific reporting period






4. 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)






5. A group of related fact tables






6. Extract - Transform and Load






7. Data accessible to the whole data warehouse






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






9. The operational systems - data warehouse and data marts






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






11. Used to support day-to-day operations






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






13. Take data from a source system






14. First stage of building a data mart






15. A table containing foreign keys and values






16. Fourth stage of building a data mart






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






18. Import data into a new database






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






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






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






22. A group of conformed dimensions






23. 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






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






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






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






27. A schema where dimensions are only connected to facts






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






29. A report created by an IT department user






30. Dimensions which are shared by two or more facts






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






32. An alternative term for a data warehouse






33. Online Analytical Processing






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






35. 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)






36. Second stage of building a data mart






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






38. The business applications






39. Draws data from operational or external systems






40. These extend BI into automating and optimising processes






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






42. Extract - Load and Transform






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






44. Look-up tables referred to by fact tables






45. Requesting information about related facts






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






47. Third stage of building a data mart






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






49. Draws data from a data warehouse






50. Data about the data