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






2. Draws data from operational or external systems






3. A query created by a BI user






4. Import data into a new database






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






6. A group of conformed dimensions






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






8. A group of related fact tables






9. Draws data from a data warehouse






10. Data accessible to the whole data warehouse






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






12. Requesting more information about a particular fact






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






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






15. Requesting information about related facts






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






17. 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






18. A summary record for a specific reporting period






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






20. A report created by an IT department user






21. These extend BI into automating and optimising processes






22. A schema where dimensions are only connected to facts






23. Fifth stage of building a data mart






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






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






26. Used to support day-to-day operations






27. Extract - Transform and Load






28. A synonym for Business Intelligence






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






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






32. Third stage of building a data mart






33. Dimensions which are shared by two or more facts






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






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






36. Second stage of building a data mart






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






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






39. Extract - Load and Transform






40. A table containing foreign keys and values






41. Look-up tables referred to by fact tables






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






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






44. 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)






45. Take data from a source system






46. First stage of building a data mart






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






48. Data about the data






49. Fourth stage of building a data mart






50. Online Analytical Processing