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






2. 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)






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






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






5. Requesting information about related facts






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






7. Extract - Load and Transform






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






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






10. Requesting more information about a particular fact






11. The operational systems - data warehouse and data marts






12. Draws data from a data warehouse






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






14. A report created by an IT department user






15. A query created by a BI user






16. Third stage of building a data mart






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






18. Dimensions which are shared by two or more facts






19. 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






20. A group of related fact tables






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






22. The business applications






23. A table containing foreign keys and values






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






25. Extract - Transform and Load






26. 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)






27. An alternative term for a data warehouse






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






29. A schema where dimensions are only connected to facts






30. Data accessible to the whole data warehouse






31. A synonym for Business Intelligence






32. Look-up tables referred to by fact tables






33. Take data from a source system






34. Second stage of building a data mart






35. A summary record for a specific reporting period






36. Import data into a new database






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






38. Fifth stage of building a data mart






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






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






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






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






43. Used to support day-to-day operations






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






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






46. Online Analytical Processing






47. A group of conformed dimensions






48. First stage of building a data mart






49. Data about the data






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