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






2. Extract - Transform and Load






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






4. A table containing foreign keys and values






5. 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)






6. Second stage of building a data mart






7. Third stage of building a data mart






8. First stage of building a data mart






9. A schema where dimensions are only connected to facts






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






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






12. Draws data from operational or external systems






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






14. Fourth stage of building a data mart






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






16. The operational systems - data warehouse and data marts






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






18. Used to support day-to-day operations






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






20. Extract - Load and Transform






21. Take data from a source system






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






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






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






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






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






27. A group of conformed dimensions






28. Draws data from a data warehouse






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






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






31. These extend BI into automating and optimising processes






32. Dimensions which are shared by two or more facts






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






34. A group of related fact tables






35. Requesting information about related facts






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






37. Requesting more information about a particular fact






38. 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






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






40. A synonym for Business Intelligence






41. Data accessible to the whole data warehouse






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






43. Online Analytical Processing






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






45. Data about the data






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






47. A report created by an IT department user






48. An alternative term for a data warehouse






49. Look-up tables referred to by fact tables






50. 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)