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 single low-level fact representing a single business operation






2. The business applications






3. Dimensions which are shared by two or more facts






4. A query created by a BI user






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






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






7. A synonym for Business Intelligence






8. Second stage of building a data mart






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






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






11. 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)






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






13. A schema where dimensions are only connected to facts






14. Extract - Transform and Load






15. An alternative term for a data warehouse






16. Look-up tables referred to by fact tables






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






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






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






20. A report created by an IT department user






21. Draws data from a data warehouse






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






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






26. A group of conformed dimensions






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






28. 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)






29. Data accessible to the whole data warehouse






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






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






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






33. 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






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






35. Import data into a new database






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






37. Fourth stage of building a data mart






38. A summary record for a specific reporting period






39. A group of related fact tables






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






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






42. Online Analytical Processing






43. Draws data from operational or external systems






44. Requesting information about related facts






45. These extend BI into automating and optimising processes






46. Third stage of building a data mart






47. Used to support day-to-day operations






48. Extract - Load and Transform






49. Data about the data






50. Take data from a source system