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. Look-up tables referred to by fact tables






2. Dimensions which are shared by two or more facts






3. Second stage of building a data mart






4. 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






5. 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)






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






7. A report created by an IT department user






8. A group of conformed dimensions






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






10. A group of related fact tables






11. The business applications






12. Requesting more information about a particular fact






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






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






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






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






17. Extract - Transform and Load






18. Draws data from a data warehouse






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






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






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






22. An alternative term for a data warehouse






23. 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)






24. Fifth stage of building a data mart






25. A summary record for a specific reporting period






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






27. Extract - Load and Transform






28. A schema where dimensions are only connected to facts






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






30. Used to support day-to-day operations






31. Take data from a source system






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






33. These extend BI into automating and optimising processes






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






35. Fourth stage of building a data mart






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






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






38. A synonym for Business Intelligence






39. Data about the data






40. Online Analytical Processing






41. A query created by a BI user






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






43. The operational systems - data warehouse and data marts






44. First stage of building a data mart






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






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






47. Data accessible to the whole data warehouse






48. Import data into a new database






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






50. A table containing foreign keys and values