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 synonym for Business Intelligence






2. Data about the data






3. 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)






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






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






6. Online Analytical Processing






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






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






9. Requesting information about related facts






10. Fifth stage of building a data mart






11. 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






12. First stage of building a data mart






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






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






15. Fourth stage of building a data mart






16. A summary record for a specific reporting period






17. Third stage of building a data mart






18. A query created by a BI user






19. A schema where dimensions are only connected to facts






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






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






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






23. Draws data from a data warehouse






24. The operational systems - data warehouse and data marts






25. An alternative term for a data warehouse






26. A group of related fact tables






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






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






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






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






31. Import data into a new database






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






33. Take data from a source system






34. These extend BI into automating and optimising processes






35. Data accessible to the whole data warehouse






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






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






38. Extract - Load and Transform






39. Draws data from operational or external systems






40. Extract - Transform and Load






41. Used to support day-to-day operations






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






43. A table containing foreign keys and values






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






45. Second stage of building a data mart






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






47. A report created by an IT department user






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






49. A group of conformed dimensions






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