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






2. The operational systems - data warehouse and data marts






3. Fourth stage of building a data mart






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






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






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






7. Data accessible to the whole data warehouse






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






9. Third stage of building a data mart






10. Draws data from a data warehouse






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






12. Import data into a new database






13. Second stage of building a data mart






14. Data about the data






15. Requesting information about related facts






16. First stage of building a data mart






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






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






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






20. Extract - Load and Transform






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






22. 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)






23. A synonym for Business Intelligence






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






25. Look-up tables referred to by fact tables






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






27. A query created by a BI user






28. A report created by an IT department user






29. 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






30. Used to support day-to-day operations






31. A group of conformed dimensions






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






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






34. The business applications






35. A group of related fact tables






36. Requesting more information about a particular fact






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






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






39. These extend BI into automating and optimising processes






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






41. A schema where dimensions are only connected to facts






42. Online Analytical Processing






43. A table containing foreign keys and values






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






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






46. An alternative term for a data warehouse






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






48. Draws data from operational or external systems






49. Dimensions which are shared by two or more facts






50. Fifth stage of building a data mart