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. 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






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






3. A query created by a BI user






4. Take data from a source system






5. Look-up tables referred to by fact tables






6. Requesting information about related facts






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






8. Draws data from operational or external systems






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






10. The business applications






11. A summary record for a specific reporting period






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






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






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






15. Import data into a new database






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






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






18. Extract - Transform and Load






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






20. First stage of building a data mart






21. Draws data from a data warehouse






22. A group of conformed dimensions






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






24. An alternative term for a data warehouse






25. Third stage of building a data mart






26. These extend BI into automating and optimising processes






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






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






29. Second stage of building a data mart






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






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






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






33. A schema where dimensions are only connected to facts






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






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






36. Fourth stage of building a data mart






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






38. 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)






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






40. A synonym for Business Intelligence






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. A report created by an IT department user






43. Dimensions which are shared by two or more facts






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






45. Data about the data






46. Used to support day-to-day operations






47. Online Analytical Processing






48. Fifth stage of building a data mart






49. Extract - Load and Transform






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