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






3. Data about the data






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






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






6. These extend BI into automating and optimising processes






7. The operational systems - data warehouse and data marts






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






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






10. A report created by an IT department user






11. Draws data from operational or external systems






12. Online Analytical Processing






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






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






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






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






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






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






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






20. Second stage of building a data mart






21. A group of related fact tables






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






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






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






25. Extract - Transform and Load






26. 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






27. Requesting more information about a particular fact






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






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






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






31. First stage of building a data mart






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






33. Look-up tables referred to by fact tables






34. A synonym for Business Intelligence






35. Requesting information about related facts






36. A table containing foreign keys and values






37. Import data into a new database






38. A query created by a BI user






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






40. Third stage of building a data mart






41. A summary record for a specific reporting period






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






43. Draws data from a data warehouse






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






45. The business applications






46. A group of conformed dimensions






47. Take data from a source system






48. Fourth stage of building a data mart






49. 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)






50. Data accessible to the whole data warehouse