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






3. The operational systems - data warehouse and data marts






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






5. Extract - Load and Transform






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






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






8. Used to support day-to-day operations






9. A query created by a BI user






10. Import data into a new database






11. An alternative term for a data warehouse






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






13. A report created by an IT department user






14. Data about the data






15. These extend BI into automating and optimising processes






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






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






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






19. 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)






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






21. A schema where dimensions are only connected to facts






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






23. Second stage of building a data mart






24. 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






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






26. A group of related fact tables






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






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






29. Extract - Transform and Load






30. Take data from a source system






31. A table containing foreign keys and values






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






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






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






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






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






37. First stage of building a data mart






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






39. Draws data from operational or external systems






40. Look-up tables referred to by fact tables






41. 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)






42. Fifth stage of building a data mart






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






44. Third stage of building a data mart






45. Requesting information about related facts






46. Fourth stage of building a data mart






47. The business applications






48. Online Analytical Processing






49. A synonym for Business Intelligence






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