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. Unlike independent data marts the marts are linked via middleware






2. Take data from a source system






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






4. Draws data from operational or external systems






5. Draws data from a data warehouse






6. A summary record for a specific reporting period






7. First stage of building a data mart






8. A table containing foreign keys and values






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






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






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






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






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






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






15. A report created by an IT department user






16. A group of conformed dimensions






17. 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






18. A query created by a BI user






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






20. Second stage of building a data mart






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






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






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






24. An alternative term for a data warehouse






25. Used to support day-to-day operations






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






27. Requesting more information about a particular fact






28. A synonym for Business Intelligence






29. Data about the data






30. Dimensions which are shared by two or more facts






31. A schema where dimensions are only connected to facts






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






33. These extend BI into automating and optimising processes






34. Fifth stage of building a data mart






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






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






37. 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)






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






39. Third stage of building a data mart






40. Extract - Load and Transform






41. Requesting information about related facts






42. Import data into a new database






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






44. Extract - Transform and Load






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






46. The business applications






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






48. Online Analytical Processing






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






50. Data accessible to the whole data warehouse