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. Fourth stage of building a data mart






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






3. The business applications






4. Used to support day-to-day operations






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






6. An alternative term for a data warehouse






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






8. Draws data from operational or external systems






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






10. 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






11. Draws data from a data warehouse






12. First stage of building a data mart






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






14. Fifth stage of building a data mart






15. A summary record for a specific reporting period






16. These extend BI into automating and optimising processes






17. Import data into a new database






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






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






20. Extract - Load and Transform






21. Dimensions which are shared by two or more facts






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






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






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






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






26. Online Analytical Processing






27. A group of related fact tables






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






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






30. A report created by an IT department user






31. A table containing foreign keys and values






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






33. A group of conformed dimensions






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






35. Data about the data






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






37. Requesting more information about a particular fact






38. Third stage of building a data mart






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






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






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






42. Second stage of building a data mart






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






44. A synonym for Business Intelligence






45. 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)






46. Extract - Transform and Load






47. 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)






48. The operational systems - data warehouse and data marts






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






50. Take data from a source system