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. Second stage of building a data mart






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






3. 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)






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






5. A query created by a BI user






6. Fifth stage of building a data mart






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






8. Requesting information about related facts






9. A report created by an IT department user






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






11. A group of conformed dimensions






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






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






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






15. A summary record for a specific reporting period






16. These extend BI into automating and optimising processes






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






18. The operational systems - data warehouse and data marts






19. Import data into a new database






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






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






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






23. Draws data from operational or external systems






24. The business applications






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






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






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






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






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






31. A group of related fact tables






32. Take data from a source system






33. Third stage of building a data mart






34. Extract - Load and Transform






35. A schema where dimensions are only connected to facts






36. An alternative term for a data warehouse






37. Data accessible to the whole data warehouse






38. Online Analytical Processing






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






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






41. A synonym for Business Intelligence






42. Used to support day-to-day operations






43. Extract - Transform and Load






44. A table containing foreign keys and values






45. First stage of building a data mart






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






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






48. Dimensions which are shared by two or more facts






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. Splitting data tables into smaller tables for efficient access.