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. Draws data from a data warehouse






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






3. The operational systems - data warehouse and data marts






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






5. A schema where dimensions are only connected to facts






6. Draws data from operational or external systems






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






8. Import data into a new database






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






10. Second stage of building a data mart






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






12. Extract - Load and Transform






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






14. A synonym for Business Intelligence






15. Requesting more information about a particular fact






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






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






18. A group of conformed dimensions






19. Fourth stage of building a data mart






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






21. 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)






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






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






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






25. Used to support day-to-day operations






26. A table containing foreign keys and values






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






28. A query created by a BI user






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






30. A group of related fact tables






31. Fifth stage of building a data mart






32. 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






33. Data about the data






34. A summary record for a specific reporting period






35. Requesting information about related facts






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






37. An alternative term for a data warehouse






38. A report created by an IT department user






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






40. Look-up tables referred to by fact tables






41. Extract - Transform and Load






42. Dimensions which are shared by two or more facts






43. First stage of building a data mart






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






45. These extend BI into automating and optimising processes






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






47. Third stage of building a data mart






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






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






50. Online Analytical Processing