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. 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






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






3. Third stage of building a data mart






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






5. A group of conformed dimensions






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






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






8. A group of related fact tables






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






10. Import data into a new database






11. First stage of building a data mart






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






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






14. Online Analytical Processing






15. Requesting more information about a particular fact






16. These extend BI into automating and optimising processes






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






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






19. Look-up tables referred to by fact tables






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






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






22. Fourth stage of building a data mart






23. Second stage of building a data mart






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






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






26. Requesting information about related facts






27. Fifth stage of building a data mart






28. Extract - Load and Transform






29. Data accessible to the whole data warehouse






30. A query created by a BI user






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






32. A report created by an IT department user






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






34. A schema where dimensions are only connected to facts






35. 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)






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






37. Data about the data






38. Extract - Transform and Load






39. An alternative term for a data warehouse






40. A summary record for a specific reporting period






41. Draws data from a data warehouse






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






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






44. The operational systems - data warehouse and data marts






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






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






47. A synonym for Business Intelligence






48. Draws data from operational or external systems






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






50. 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)