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. An alternative term for a data warehouse






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






3. Dimensions which are shared by two or more facts






4. These extend BI into automating and optimising processes






5. The business applications






6. 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






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






8. Online Analytical Processing






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






10. Take data from a source system






11. 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)






12. 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)






13. A query created by a BI user






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






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






16. A schema where dimensions are only connected to facts






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






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






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






20. Look-up tables referred to by fact tables






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






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






23. Fourth stage of building a data mart






24. Import data into a new database






25. A summary record for a specific reporting period






26. Third stage of building a data mart






27. Used to support day-to-day operations






28. A synonym for Business Intelligence






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






30. Draws data from operational or external systems






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






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






33. Data about the data






34. Requesting information about related facts






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






36. Second stage of building a data mart






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






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






39. A group of related fact tables






40. Fifth stage of building a data mart






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






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






43. Requesting more information about a particular fact






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






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






46. Extract - Transform and Load






47. A report created by an IT department user






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






49. A table containing foreign keys and values






50. The operational systems - data warehouse and data marts