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 group of related fact tables






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






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






4. Requesting information about related facts






5. The business applications






6. A group of conformed dimensions






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






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






9. Draws data from a data warehouse






10. Look-up tables referred to by fact tables






11. Fifth stage of building a data mart






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






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






14. The operational systems - data warehouse and data marts






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






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






17. Data accessible to the whole data warehouse






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






19. Dimensions which are shared by two or more facts






20. An alternative term for a data warehouse






21. A table containing foreign keys and values






22. A schema where dimensions are only connected to facts






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






24. 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)






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






26. A synonym for Business Intelligence






27. First stage of building a data mart






28. Draws data from operational or external systems






29. A query created by a BI user






30. Online Analytical Processing






31. Used to support day-to-day operations






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






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






34. 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






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






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






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






38. Take data from a source system






39. Fourth stage of building a data mart






40. 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)






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






42. Requesting more information about a particular fact






43. These extend BI into automating and optimising processes






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






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






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






47. Second stage of building a data mart






48. Third stage of building a data mart






49. A summary record for a specific reporting period






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