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






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






3. A query created by a BI user






4. A synonym for Business Intelligence






5. Extract - Transform and Load






6. Second stage of building a data mart






7. A group of conformed dimensions






8. A summary record for a specific reporting period






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






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






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






12. A schema where dimensions are only connected to facts






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






14. Take data from a source system






15. These extend BI into automating and optimising processes






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






17. A group of related fact tables






18. Requesting more information about a particular fact






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






20. Import data into a new database






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






22. 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)






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






24. Data about the data






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






26. Used to support day-to-day operations






27. Draws data from a data warehouse






28. Fourth stage of building a data mart






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






30. 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)






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






32. Third stage of building a data mart






33. An alternative term for a data warehouse






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






35. Requesting information about related facts






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






37. First stage of building a data mart






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






39. Fifth stage of building a data mart






40. Dimensions which are shared by two or more facts






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






42. The business applications






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






44. Data accessible to the whole data warehouse






45. 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






46. Online Analytical Processing






47. Extract - Load and Transform






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






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






50. The operational systems - data warehouse and data marts