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 the data warehouse data architecture design process






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






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






4. Import data into a new database






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






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






8. The operational systems - data warehouse and data marts






9. A summary record for a specific reporting period






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






11. Draws data from a data warehouse






12. Third stage of building a data mart






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






14. Requesting information about related facts






15. 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)






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






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






18. Dimensions which are shared by two or more facts






19. Take data from a source system






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






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






22. 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)






23. Data about the data






24. Used to support day-to-day operations






25. Draws data from operational or external systems






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






27. Second stage of building a data mart






28. Fourth stage of building a data mart






29. Extract - Transform and Load






30. A synonym for Business Intelligence






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






32. Extract - Load and Transform






33. A schema where dimensions are only connected to facts






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






35. A group of related fact tables






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






37. An alternative term for a data warehouse






38. Online Analytical Processing






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






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






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






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






43. First stage of building a data mart






44. These extend BI into automating and optimising processes






45. Data accessible to the whole data warehouse






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






47. A group of conformed dimensions






48. Look-up tables referred to by fact tables






49. Requesting more information about a particular fact






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