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 daily snapshot for each day of a set period






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






3. Import data into a new database






4. Extract - Load and Transform






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






6. The operational systems - data warehouse and data marts






7. Data about the data






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






9. First stage of building a data mart






10. Fifth stage of building a data mart






11. Data accessible to the whole data warehouse






12. These extend BI into automating and optimising processes






13. Look-up tables referred to by fact tables






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






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






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






17. A query created by a BI user






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






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






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






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






22. Draws data from a data warehouse






23. Take data from a source system






24. 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)






25. A table containing foreign keys and values






26. Requesting more information about a particular fact






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






28. Third stage of building a data mart






29. An alternative term for a data warehouse






30. A report created by an IT department user






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






32. A synonym for Business Intelligence






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






34. Used to support day-to-day operations






35. A group of related fact tables






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






37. Extract - Transform and Load






38. 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






39. 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)






40. Draws data from operational or external systems






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






42. Fourth stage of building a data mart






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






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






45. Second stage of building a data mart






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






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






48. Requesting information about related facts






49. A group of conformed dimensions






50. Dimensions which are shared by two or more facts