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






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






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






4. Requesting more information about a particular fact






5. 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)






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






7. Dimensions which are shared by two or more facts






8. Import data into a new database






9. A schema where dimensions are only connected to facts






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






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






12. First stage of building a data mart






13. The business applications






14. Second stage of building a data mart






15. A table containing foreign keys and values






16. Data accessible to the whole data warehouse






17. Take data from a source system






18. Fifth stage of building a data mart






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






20. Look-up tables referred to by fact tables






21. 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)






22. Data about the data






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






24. Third stage of building a data mart






25. A group of related fact tables






26. Fourth stage of building a data mart






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






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






29. A synonym for Business Intelligence






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






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






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






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






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






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






36. 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






37. An alternative term for a data warehouse






38. A group of conformed dimensions






39. The operational systems - data warehouse and data marts






40. Extract - Load and Transform






41. Extract - Transform and Load






42. A summary record for a specific reporting period






43. A report created by an IT department user






44. Draws data from a data warehouse






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






46. These extend BI into automating and optimising processes






47. Used to support day-to-day operations






48. A query created by a BI user






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






50. Draws data from operational or external systems