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 table containing foreign keys and values






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






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






4. 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)






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






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






7. Look-up tables referred to by fact tables






8. A group of related fact tables






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






10. The business applications






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






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






13. Fourth stage of building a data mart






14. Fifth stage of building a data mart






15. Data accessible to the whole data warehouse






16. Third stage of building a data mart






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






18. The operational systems - data warehouse and data marts






19. These extend BI into automating and optimising processes






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






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






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






23. A group of conformed dimensions






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






25. Draws data from operational or external systems






26. Data about the data






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






28. Online Analytical Processing






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






30. Take data from a source system






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






32. 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






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






34. A summary record for a specific reporting period






35. A schema where dimensions are only connected to facts






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






37. Import data into a new database






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






39. Second stage of building a data mart






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






41. A report created by an IT department user






42. Dimensions which are shared by two or more facts






43. 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)






44. Draws data from a data warehouse






45. First stage of building a data mart






46. Extract - Load and Transform






47. Extract - Transform and Load






48. Requesting more information about a particular fact






49. Requesting information about related facts






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