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. A report created by an IT department user






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






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






4. A group of related fact tables






5. Data about the data






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






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






8. Fourth stage of building a data mart






9. 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






10. The operational systems - data warehouse and data marts






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






12. Online Analytical Processing






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






14. Extract - Load and Transform






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






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






17. These extend BI into automating and optimising processes






18. Extract - Transform and Load






19. Fifth stage of building a data mart






20. An alternative term for a data warehouse






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






22. Draws data from a data warehouse






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






24. 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)






25. A query created by a BI user






26. A group of conformed dimensions






27. Third stage of building a data mart






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






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






30. A summary record for a specific reporting period






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






32. 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)






33. A table containing foreign keys and values






34. Requesting more information about a particular fact






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






36. Data accessible to the whole data warehouse






37. Take data from a source system






38. Dimensions which are shared by two or more facts






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






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






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






42. Import data into a new database






43. Used to support day-to-day operations






44. A synonym for Business Intelligence






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






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






47. First stage of building a data mart






48. Requesting information about related facts






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






50. Look-up tables referred to by fact tables