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






2. A summary record for a specific reporting period






3. Extract - Load and Transform






4. Look-up tables referred to by fact tables






5. A table containing foreign keys and values






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






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






8. Second stage of building a data mart






9. Data accessible to the whole data warehouse






10. A schema where dimensions are only connected to facts






11. Fifth stage of building a data mart






12. 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)






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






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






15. Draws data from operational or external systems






16. A group of conformed dimensions






17. 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)






18. Online Analytical Processing






19. The business applications






20. A report created by an IT department user






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






22. The operational systems - data warehouse and data marts






23. Third stage of building a data mart






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






25. These extend BI into automating and optimising processes






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






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






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






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






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






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






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






33. Fourth stage of building a data mart






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






35. A query created by a BI user






36. Extract - Transform and Load






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






38. Requesting information about related facts






39. First stage of building a data mart






40. An alternative term for a data warehouse






41. Take data from a source system






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






43. Draws data from a data warehouse






44. A synonym for Business Intelligence






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






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






47. 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






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






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






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