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 table containing foreign keys and values






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






4. Second stage of building a data mart






5. Look-up tables referred to by fact tables






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






7. Fourth stage of building a data mart






8. Import data into a new database






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






10. Requesting more information about a particular fact






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






12. A synonym for Business Intelligence






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






14. Data about the data






15. A group of related fact tables






16. 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






17. Third stage of building a data mart






18. Used to support day-to-day operations






19. A schema where dimensions are only connected to facts






20. Dimensions which are shared by two or more facts






21. 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)






22. First stage of building a data mart






23. The business applications






24. 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)






25. Online Analytical Processing






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






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






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






29. An alternative term for a data warehouse






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






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






32. A report created by an IT department user






33. Take data from a source system






34. A summary record for a specific reporting period






35. Draws data from a data warehouse






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






37. A group of conformed dimensions






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






39. Extract - Transform and Load






40. Fifth stage of building a data mart






41. These extend BI into automating and optimising processes






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






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






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






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






46. Extract - Load and Transform






47. Requesting information about related facts






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






49. Draws data from operational or external systems






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