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 group of conformed dimensions






2. 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






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






4. The business applications






5. Third stage of building a data mart






6. The operational systems - data warehouse and data marts






7. 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)






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






9. These extend BI into automating and optimising processes






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






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






12. Fifth stage of building a data mart






13. Data accessible to the whole data warehouse






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






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






16. Import data into a new database






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






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






19. Used to support day-to-day operations






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






21. 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)






22. A summary record for a specific reporting period






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






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






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






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






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






28. Second stage of building a data mart






29. A synonym for Business Intelligence






30. Data about the data






31. A group of related fact tables






32. Requesting information about related facts






33. Draws data from a data warehouse






34. Dimensions which are shared by two or more facts






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






36. Fourth stage of building a data mart






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






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






39. Online Analytical Processing






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






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






42. Take data from a source system






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






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






45. A report created by an IT department user






46. Extract - Transform and Load






47. First stage of building a data mart






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






49. Requesting more information about a particular fact






50. A schema where dimensions are only connected to facts