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. Fifth stage of building a data mart






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






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






4. A summary record for a specific reporting period






5. Requesting information about related facts






6. Data accessible to the whole data warehouse






7. 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)






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






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






10. Used to support day-to-day operations






11. A group of related fact tables






12. Requesting more information about a particular fact






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






14. Extract - Load and Transform






15. First stage of building a data mart






16. A report created by an IT department user






17. 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






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






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






20. 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)






21. Draws data from a data warehouse






22. The operational systems - data warehouse and data marts






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






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






25. These extend BI into automating and optimising processes






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






27. Third stage of building a data mart






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






29. A table containing foreign keys and values






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






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






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






33. Dimensions which are shared by two or more facts






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






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






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






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






38. An alternative term for a data warehouse






39. Look-up tables referred to by fact tables






40. A query created by a BI user






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






42. A schema where dimensions are only connected to facts






43. The business applications






44. Extract - Transform and Load






45. Data about the data






46. A synonym for Business Intelligence






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






48. Import data into a new database






49. Second stage of building a data mart






50. Draws data from operational or external systems