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. Requesting information about related facts






2. 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






3. A report created by an IT department user






4. A group of related fact tables






5. Extract - Load and Transform






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






7. 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)






8. Draws data from a data warehouse






9. Used to support day-to-day operations






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






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






12. First stage of building a data mart






13. A synonym for Business Intelligence






14. These extend BI into automating and optimising processes






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






16. A query created by a BI user






17. Second stage of building a data mart






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






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






20. Import data into a new database






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






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






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






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






25. Extract - Transform and Load






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






27. Requesting more information about a particular fact






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






29. Fourth stage of building a data mart






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






31. A group of conformed dimensions






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






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






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






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






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






37. Data accessible to the whole data warehouse






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






39. An alternative term for a data warehouse






40. The operational systems - data warehouse and data marts






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






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






43. Online Analytical Processing






44. 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)






45. Take data from a source system






46. Dimensions which are shared by two or more facts






47. The business applications






48. A schema where dimensions are only connected to facts






49. Data about the data






50. Third stage of building a data mart