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. 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)






2. Data about the data






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






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






5. Dimensions which are shared by two or more facts






6. Third stage of building a data mart






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






8. Look-up tables referred to by fact tables






9. Extract - Transform and Load






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






11. Fourth stage of building a data mart






12. Draws data from a data warehouse






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






14. Import data into a new database






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






16. Requesting more information about a particular fact






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






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






19. A synonym for Business Intelligence






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






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






22. Used to support day-to-day operations






23. These extend BI into automating and optimising processes






24. An alternative term for a data warehouse






25. Fifth stage of building a data mart






26. A summary record for a specific reporting period






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






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






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






30. A group of conformed dimensions






31. First stage of building a data mart






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






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






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






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






36. The business applications






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






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






39. Online Analytical Processing






40. 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)






41. Requesting information about related facts






42. 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






43. Data accessible to the whole data warehouse






44. A query created by a BI user






45. Second stage of building a data mart






46. Take data from a source system






47. The operational systems - data warehouse and data marts






48. A group of related fact tables






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






50. A table containing foreign keys and values