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. A table containing foreign keys and values






3. A query created by a BI user






4. A group of conformed dimensions






5. Used to support day-to-day operations






6. First stage of building a data mart






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






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






9. A report created by an IT department user






10. A group of related fact tables






11. Fifth stage of building a data mart






12. Draws data from operational or external systems






13. Fourth stage of building a data mart






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






15. An alternative term for a data warehouse






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






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






18. A synonym for Business Intelligence






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






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






21. The operational systems - data warehouse and data marts






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






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. Extract - Load and Transform






25. 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)






26. Import data into a new database






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






28. These extend BI into automating and optimising processes






29. Take data from a source system






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






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






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






33. Requesting information about related facts






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






35. Look-up tables referred to by fact tables






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






37. The business applications






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






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






40. Requesting more information about a particular fact






41. Third stage of building a data mart






42. Draws data from a data warehouse






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






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






45. Second stage of building a data mart






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






47. Data accessible to the whole data warehouse






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






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






50. A summary record for a specific reporting period