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. Extract - Load and Transform






2. These extend BI into automating and optimising processes






3. Fifth stage of building a data mart






4. A synonym for Business Intelligence






5. A report created by an IT department user






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






7. Take data from a source system






8. Import data into a new database






9. Fourth stage of building a data mart






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






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






12. First stage of building a data mart






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






14. A table containing foreign keys and values






15. Look-up tables referred to by fact tables






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






17. A summary record for a specific reporting period






18. 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)






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






20. An alternative term for a data warehouse






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






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






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






24. Dimensions which are shared by two or more facts






25. Online Analytical Processing






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






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






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






29. Data about the data






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






31. Second stage of building a data mart






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






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






34. Draws data from operational or external systems






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






36. Requesting information about related facts






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






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






39. A query created by a BI user






40. 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)






41. A schema where dimensions are only connected to facts






42. The business applications






43. 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






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






45. Data accessible to the whole data warehouse






46. Requesting more information about a particular fact






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






48. Used to support day-to-day operations






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






50. A group of conformed dimensions