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. First stage of building a data mart






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






3. 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)






4. A report created by an IT department user






5. Extract - Load and Transform






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






7. Extract - Transform and Load






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






9. A summary record for a specific reporting period






10. A group of conformed dimensions






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






12. Take data from a source system






13. Fourth stage of building a data mart






14. 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)






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






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






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






18. Dimensions which are shared by two or more facts






19. A synonym for Business Intelligence






20. Online Analytical Processing






21. Import data into a new database






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






23. 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






24. These extend BI into automating and optimising processes






25. Used to support day-to-day operations






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






27. Second stage of building a data mart






28. Draws data from operational or external systems






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






30. Draws data from a data warehouse






31. A schema where dimensions are only connected to facts






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






33. Third stage of building a data mart






34. An alternative term for a data warehouse






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






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






37. The operational systems - data warehouse and data marts






38. A query created by a BI user






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






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






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






42. Requesting information about related facts






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






44. The business applications






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






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






47. A table containing foreign keys and values






48. A group of related fact tables






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






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