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






2. Draws data from operational or external systems






3. Data accessible to the whole data warehouse






4. Import data into a new database






5. Third stage of building a data mart






6. The operational systems - data warehouse and data marts






7. 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)






8. Second stage of building a data mart






9. A summary record for a specific reporting period






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






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






12. A table containing foreign keys and values






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






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






15. The business applications






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






17. Take data from a source system






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






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






20. Draws data from a data warehouse






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






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






23. A group of related fact tables






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






25. Extract - Load and Transform






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






27. An alternative term for a data warehouse






28. Requesting information about related facts






29. Extract - Transform and Load






30. A query created by a BI user






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






32. A report created by an IT department user






33. Look-up tables referred to by fact tables






34. Online Analytical Processing






35. Dimensions which are shared by two or more facts






36. First stage of building a data mart






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






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






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






40. Requesting more information about a particular fact






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






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






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






44. A group of conformed dimensions






45. Data about the data






46. 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






47. A synonym for Business Intelligence






48. 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)






49. Fourth stage of building a data mart






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