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. A group of conformed dimensions






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






4. Second stage of building a data mart






5. An alternative term for a data warehouse






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






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






8. Fifth stage of building a data mart






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






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






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






12. First stage of building a data mart






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






14. Look-up tables referred to by fact tables






15. Take data from a source system






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






17. A report created by an IT department user






18. A group of related fact tables






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






20. Extract - Transform and Load






21. The operational systems - data warehouse and data marts






22. A query created by a BI user






23. Extract - Load and Transform






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






25. Dimensions which are shared by two or more facts






26. Fourth stage of building a data mart






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






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






29. Import data into a new database






30. Used to support day-to-day operations






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. Data accessible to the whole data warehouse






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






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






35. 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)






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






37. Requesting more information about a particular fact






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






39. Data about the data






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. Online Analytical Processing






42. Draws data from operational or external systems






43. A synonym for Business Intelligence






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






45. Third stage of building a data mart






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






47. These extend BI into automating and optimising processes






48. A table containing foreign keys and values






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






50. Draws data from a data warehouse