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






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






3. A group of conformed dimensions






4. Take data from a source system






5. Third stage of building a data mart






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






7. Draws data from operational or external systems






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






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






10. A schema where dimensions are only connected to facts






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






12. Second stage of building a data mart






13. A summary record for a specific reporting period






14. An alternative term for a data warehouse






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






16. A table containing foreign keys and values






17. Extract - Transform and Load






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






19. Import data into a new database






20. The business applications






21. Fifth stage of building a data mart






22. A report created by an IT department user






23. The operational systems - data warehouse and data marts






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






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






26. Online Analytical Processing






27. Used to support day-to-day operations






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






29. 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)






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






31. Requesting more information about a particular fact






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






33. Look-up tables referred to by fact tables






34. 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)






35. Draws data from a data warehouse






36. Dimensions which are shared by two or more facts






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






38. A query created by a BI user






39. First stage of building a data mart






40. 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






41. Fourth stage of building a data mart






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






43. These extend BI into automating and optimising processes






44. A synonym for Business Intelligence






45. Requesting information about related facts






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






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






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






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






50. Data accessible to the whole data warehouse