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. Extract - Load and Transform






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






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






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






5. Data accessible to the whole data warehouse






6. A schema where dimensions are only connected to facts






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






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






9. Online Analytical Processing






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






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






12. Extract - Transform and Load






13. Second stage of building a data mart






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






15. Dimensions which are shared by two or more facts






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






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






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






19. A summary record for a specific reporting period






20. Requesting more information about a particular fact






21. Data about the data






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






23. Look-up tables referred to by fact tables






24. A group of related fact tables






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






26. The business applications






27. A report created by an IT department user






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






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






30. The operational systems - data warehouse and data marts






31. An alternative term for a data warehouse






32. Import data into a new database






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






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






35. Draws data from a data warehouse






36. 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)






37. First stage of building a data mart






38. Fifth stage of building a data mart






39. Requesting information about related facts






40. Draws data from operational or external systems






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






42. A query created by a BI user






43. 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






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






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






46. Fourth stage of building a data mart






47. Third stage of building a data mart






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






49. A table containing foreign keys and values






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