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. Used to support day-to-day operations






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






3. Requesting more information about a particular fact






4. A synonym for Business Intelligence






5. A group of conformed dimensions






6. A schema where dimensions are only connected to facts






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






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






9. Fourth stage of building a data mart






10. Requesting information about related facts






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






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






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






14. First stage of building a data mart






15. An alternative term for a data warehouse






16. 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)






17. Look-up tables referred to by fact tables






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






19. 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






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






21. Third stage of building a data mart






22. Dimensions which are shared by two or more facts






23. A table containing foreign keys and values






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






25. Data about the data






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






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






28. Fifth stage of building a data mart






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






30. Second stage of building a data mart






31. The operational systems - data warehouse and data marts






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






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






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






35. Draws data from a data warehouse






36. A group of related fact tables






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






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






39. The business applications






40. Extract - Load and Transform






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






42. A query created by a BI user






43. Draws data from operational or external systems






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






45. A report created by an IT department user






46. Import data into a new database






47. 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)






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






49. Online Analytical Processing






50. Take data from a source system