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. 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)






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






3. First stage of building a data mart






4. Take data from a source system






5. Data about the data






6. The operational systems - data warehouse and data marts






7. 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






8. Extract - Load and Transform






9. Dimensions which are shared by two or more facts






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






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






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






13. Online Analytical Processing






14. Fifth stage of building a data mart






15. Requesting information about related facts






16. Look-up tables referred to by fact tables






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






18. A group of conformed dimensions






19. Third stage of building a data mart






20. The business applications






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






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






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






24. Draws data from a data warehouse






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






26. Draws data from operational or external systems






27. An alternative term for a data warehouse






28. Requesting more information about a particular fact






29. A query created by a BI user






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






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






32. Import data into a new database






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






34. Fourth stage of building a data mart






35. A synonym for Business Intelligence






36. A report created by an IT department user






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






38. These extend BI into automating and optimising processes






39. Extract - Transform and Load






40. Second stage of building a data mart






41. 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)






42. Data accessible to the whole data warehouse






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






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






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






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






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






48. Used to support day-to-day operations






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






50. A schema where dimensions are only connected to facts