Test your basic knowledge |

Data Warehousing

Subject : it-skills
Instructions:
  • Answer 50 questions in 30 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. A summary record for a specific reporting period






2. The operational systems - data warehouse and data marts






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






4. Fifth stage of building a data mart






5. Data accessible to the whole data warehouse






6. First stage of building a data mart






7. Second stage of building a data mart






8. 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






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






10. Requesting information about related facts






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






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






13. A report created by an IT department user






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






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






16. These extend BI into automating and optimising processes






17. Extract - Load and Transform






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






19. A group of related fact tables






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






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






22. Draws data from a data warehouse






23. An alternative term for a data warehouse






24. Third stage of building a data mart






25. Fourth stage of building a data mart






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






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






28. A query created by a BI user






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






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






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






32. Dimensions which are shared by two or more facts






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






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






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






36. 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)






37. Online Analytical Processing






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






39. Import data into a new database






40. Extract - Transform and Load






41. A schema where dimensions are only connected to facts






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






43. A group of conformed dimensions






44. A synonym for Business Intelligence






45. The business applications






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






47. Draws data from operational or external systems






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






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






50. 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)