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. Fourth stage of building a data mart






2. Requesting information about related facts






3. Fifth stage of building a data mart






4. 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)






5. Data about the data






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






7. Second stage of building a data mart






8. A synonym for Business Intelligence






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






10. A summary record for a specific reporting period






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






12. 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)






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






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






15. Used to support day-to-day operations






16. A table containing foreign keys and values






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






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






19. A query created by a BI user






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






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






22. Dimensions which are shared by two or more facts






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. Take data from a source system






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






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






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






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






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






30. A schema where dimensions are only connected to facts






31. These extend BI into automating and optimising processes






32. An alternative term for a data warehouse






33. Extract - Transform and Load






34. Requesting more information about a particular fact






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






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






37. Online Analytical Processing






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






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






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






41. First stage of building a data mart






42. A group of related fact tables






43. Third stage of building a data mart






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






45. Draws data from a data warehouse






46. Draws data from operational or external systems






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






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






49. Import data into a new database






50. A group of conformed dimensions