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. Draws data from a data warehouse






2. Draws data from operational or external systems






3. First stage of building a data mart






4. A report created by an IT department user






5. Second stage of building a data mart






6. A query created by a BI user






7. The business applications






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






9. Third stage of building a data mart






10. Data about the data






11. Fifth stage of building a data mart






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






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






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






15. A schema where dimensions are only connected to facts






16. A summary record for a specific reporting period






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






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






19. Fourth stage of building a data mart






20. An alternative term for a data warehouse






21. Requesting more information about a particular fact






22. Import data into a new database






23. A table containing foreign keys and values






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






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






26. Take data from a source system






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






28. A group of related fact tables






29. Extract - Load and Transform






30. Extract - Transform and Load






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






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






33. These extend BI into automating and optimising processes






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






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






36. 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)






37. Look-up tables referred to by fact tables






38. 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






39. A synonym for Business Intelligence






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






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






42. Data accessible to the whole data warehouse






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






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






45. The operational systems - data warehouse and data marts






46. Requesting information about related facts






47. Online Analytical Processing






48. 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)






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






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