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. Look-up tables referred to by fact tables






2. Dimensions which are shared by two or more facts






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






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






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






6. Requesting information about related facts






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






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






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






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






12. A group of conformed dimensions






13. Data accessible to the whole data warehouse






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






15. These extend BI into automating and optimising processes






16. 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






17. Draws data from operational or external systems






18. The business applications






19. A schema where dimensions are only connected to facts






20. A group of related fact tables






21. A query created by a BI user






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






23. The operational systems - data warehouse and data marts






24. Requesting more information about a particular fact






25. Used to support day-to-day operations






26. Extract - Transform and Load






27. A synonym for Business Intelligence






28. Third stage of building a data mart






29. A table containing foreign keys and values






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






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






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






33. Data about the data






34. Extract - Load and Transform






35. Second stage of building a data mart






36. An alternative term for a data warehouse






37. Fourth stage of building a data mart






38. A summary record for a specific reporting period






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






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






41. 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)






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






43. Draws data from a data warehouse






44. Fifth stage of building a data mart






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






46. Import data into a new database






47. First stage of building a data mart






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






49. Online Analytical Processing






50. Take data from a source system