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






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






3. Fifth stage of building a data mart






4. Online Analytical Processing






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






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






7. Data accessible to the whole data warehouse






8. Requesting information about related facts






9. Import data into a new database






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






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






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






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






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. Draws data from a data warehouse






17. Requesting more information about a particular fact






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






19. A summary record for a specific reporting period






20. Third stage of building a data mart






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






22. Second stage of building a data mart






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






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






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






26. These extend BI into automating and optimising processes






27. Used to support day-to-day operations






28. The operational systems - data warehouse and data marts






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






30. Look-up tables referred to by fact tables






31. 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






32. Draws data from operational or external systems






33. A group of related fact tables






34. A schema where dimensions are only connected to facts






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






36. Fourth stage of building a data mart






37. The business applications






38. A synonym for Business Intelligence






39. A group of conformed dimensions






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. Take data from a source system






42. Dimensions which are shared by two or more facts






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






44. First stage of building a data mart






45. An alternative term for a data warehouse






46. Extract - Load and Transform






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






48. 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)






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






50. Data about the data