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. Take data from a source system






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






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






4. Online Analytical Processing






5. A report created by an IT department user






6. Fourth stage of building a data mart






7. Used to support day-to-day operations






8. A schema where dimensions are only connected to facts






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






10. A summary record for a specific reporting period






11. Requesting information about related facts






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






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






14. First stage of building a data mart






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






16. A query created by a BI user






17. Requesting more information about a particular fact






18. A group of related fact tables






19. Third stage of building a data mart






20. A table containing foreign keys and values






21. A group of conformed dimensions






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






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






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






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






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






27. 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






28. Fifth stage of building a data mart






29. Extract - Transform and Load






30. Data accessible to the whole data warehouse






31. 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)






32. Data about the data






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






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






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






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






37. The business applications






38. Import data into a new database






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






40. Dimensions which are shared by two or more facts






41. The operational systems - data warehouse and data marts






42. Draws data from operational or external systems






43. 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)






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






45. An alternative term for a data warehouse






46. Second stage of building a data mart






47. These extend BI into automating and optimising processes






48. Look-up tables referred to by fact tables






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






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