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. First stage of the data warehouse data architecture design process






2. Draws data from a data warehouse






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






4. A group of conformed dimensions






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






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






7. Extract - Transform and Load






8. A summary record for a specific reporting period






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






10. Dimensions which are shared by two or more facts






11. Draws data from operational or external systems






12. Requesting information about related facts






13. 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)






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






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






16. A report created by an IT department user






17. Take data from a source system






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






19. Second stage of building a data mart






20. Data accessible to the whole data warehouse






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






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






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






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






25. Third stage of building a data mart






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






27. 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)






28. Used to support day-to-day operations






29. Import data into a new database






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






31. Online Analytical Processing






32. A synonym for Business Intelligence






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






34. Extract - Load and Transform






35. The operational systems - data warehouse and data marts






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






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






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






39. Data about the data






40. A query created by a BI user






41. The business applications






42. A group of related fact tables






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






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






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. Fifth stage of building a data mart






47. Look-up tables referred to by fact tables






48. First stage of building a data mart






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






50. An alternative term for a data warehouse