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. Take data from a source system






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






3. 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






4. Draws data from a data warehouse






5. A synonym for Business Intelligence






6. A schema where dimensions are only connected to facts






7. A summary record for a specific reporting period






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






9. The business applications






10. A query created by a BI user






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






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






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






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






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






16. These extend BI into automating and optimising processes






17. Data about the data






18. Fourth stage of building a data mart






19. A report created by an IT department user






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






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






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






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






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






25. Extract - Load and Transform






26. Requesting more information about a particular fact






27. A table containing foreign keys and values






28. A group of related fact tables






29. Requesting information about related facts






30. Used to support day-to-day operations






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






32. An alternative term for a data warehouse






33. Data accessible to the whole data warehouse






34. Second stage of building a data mart






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






36. Third stage of building a data mart






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






38. Look-up tables referred to by fact tables






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






40. Extract - Transform and Load






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






42. A group of conformed dimensions






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






44. 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)






45. Draws data from operational or external systems






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






47. First stage of building a data mart






48. Online Analytical Processing






49. 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)






50. Fifth stage of building a data mart