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. 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)






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






3. A synonym for Business Intelligence






4. Fourth stage of building a data mart






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






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






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






8. First stage of building a data mart






9. Dimensions which are shared by two or more facts






10. Data about the data






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






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






13. Look-up tables referred to by fact tables






14. Extract - Transform and Load






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






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






17. A query created by a BI user






18. Requesting information about related facts






19. Draws data from a data warehouse






20. Import data into a new database






21. 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






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






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






24. Used to support day-to-day operations






25. A group of conformed dimensions






26. Draws data from operational or external systems






27. These extend BI into automating and optimising processes






28. Second stage of building a data mart






29. A table containing foreign keys and values






30. An alternative term for a data warehouse






31. 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)






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






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






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






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






36. A report created by an IT department user






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






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






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






40. Take data from a source system






41. A schema where dimensions are only connected to facts






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






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






44. Data accessible to the whole data warehouse






45. Fifth stage of building a data mart






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






47. Online Analytical Processing






48. Extract - Load and Transform






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






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