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. Look-up tables referred to by fact tables






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






3. Requesting information about related facts






4. First stage of building a data mart






5. Extract - Load and Transform






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






7. The operational systems - data warehouse and data marts






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






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






10. Requesting more information about a particular fact






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






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






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






14. 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)






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






16. A query created by a BI user






17. Dimensions which are shared by two or more facts






18. Used to support day-to-day operations






19. Take data from a source system






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






21. Online Analytical Processing






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






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. Second stage of building a data mart






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






26. Import data into a new database






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






28. 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)






29. Fifth stage of building a data mart






30. A schema where dimensions are only connected to facts






31. A table containing foreign keys and values






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






33. An alternative term for a data warehouse






34. Draws data from operational or external systems






35. Extract - Transform and Load






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






37. A report created by an IT department user






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






39. Fourth stage of building a data mart






40. A summary record for a specific reporting period






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






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






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






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






45. Data about the data






46. A synonym for Business Intelligence






47. A group of conformed dimensions






48. These extend BI into automating and optimising processes






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






50. Data accessible to the whole data warehouse