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. A group of related fact tables






2. 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






3. Fifth stage of building a data mart






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






5. Fourth stage of building a data mart






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






7. A report created by an IT department user






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






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






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






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






12. Draws data from operational or external systems






13. Import data into a new database






14. 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)






15. A summary record for a specific reporting period






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






17. The business applications






18. Data accessible to the whole data warehouse






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






20. Extract - Transform and Load






21. Take data from a source system






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






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






24. A group of conformed dimensions






25. These extend BI into automating and optimising processes






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






27. An alternative term for a data warehouse






28. 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)






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






30. Requesting information about related facts






31. Second stage of building a data mart






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






33. Used to support day-to-day operations






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






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






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






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






38. A query created by a BI user






39. Data about the data






40. The operational systems - data warehouse and data marts






41. First stage of building a data mart






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






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






44. Extract - Load and Transform






45. A schema where dimensions are only connected to facts






46. Third stage of building a data mart






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






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






49. A table containing foreign keys and values






50. Draws data from a data warehouse