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. Extract - Transform and Load






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






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






4. Dimensions which are shared by two or more facts






5. Fifth stage of building a data mart






6. 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






7. Requesting more information about a particular fact






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






9. Extract - Load and Transform






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






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






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






13. Requesting information about related facts






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






15. Third stage of building a data mart






16. A group of related fact tables






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






18. A synonym for Business Intelligence






19. These extend BI into automating and optimising processes






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






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






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






23. An alternative term for a data warehouse






24. A group of conformed dimensions






25. Take data from a source system






26. Data accessible to the whole data warehouse






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






28. Look-up tables referred to by fact tables






29. A summary record for a specific reporting period






30. A query created by a BI user






31. 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)






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






33. Draws data from operational or external systems






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






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






36. Used to support day-to-day operations






37. A table containing foreign keys and values






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






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






40. Draws data from a data warehouse






41. The operational systems - data warehouse and data marts






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






43. A schema where dimensions are only connected to facts






44. Fourth stage of building a data mart






45. Online Analytical Processing






46. Second stage of building a data mart






47. 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)






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






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






50. Import data into a new database