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. First stage of building a data mart






2. Fourth stage of building a data mart






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






4. Requesting information about related facts






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






6. 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






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






8. 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)






9. Dimensions which are shared by two or more facts






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






11. Data about the data






12. A schema where dimensions are only connected to facts






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






14. The operational systems - data warehouse and data marts






15. The business applications






16. Extract - Transform and Load






17. Requesting more information about a particular fact






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






19. Look-up tables referred to by fact tables






20. A synonym for Business Intelligence






21. Data accessible to the whole data warehouse






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






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






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






25. Draws data from operational or external systems






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






27. 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)






28. Take data from a source system






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






30. A query created by a BI user






31. A table containing foreign keys and values






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






33. Import data into a new database






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






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






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






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






38. A report created by an IT department user






39. Used to support day-to-day operations






40. Draws data from a data warehouse






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






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






43. A summary record for a specific reporting period






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






45. These extend BI into automating and optimising processes






46. An alternative term for a data warehouse






47. Third stage of building a data mart






48. Fifth stage of building a data mart






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






50. Online Analytical Processing