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. Data about the data






3. A synonym for Business Intelligence






4. 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






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






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






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. A report created by an IT department user






9. Used to support day-to-day operations






10. 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)






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






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






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






14. Look-up tables referred to by fact tables






15. A schema where dimensions are only connected to facts






16. Data accessible to the whole data warehouse






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






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






19. Import data into a new database






20. First stage of building a data mart






21. These extend BI into automating and optimising processes






22. Requesting information about related facts






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






24. Second stage of building a data mart






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






26. The business applications






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






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






29. Requesting more information about a particular fact






30. Draws data from operational or external systems






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






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






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






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






35. Take data from a source system






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






37. Online Analytical Processing






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






39. Fourth stage of building a data mart






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






41. Extract - Load and Transform






42. Dimensions which are shared by two or more facts






43. A group of conformed dimensions






44. A summary record for a specific reporting period






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






46. A query created by a BI user






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






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






49. The operational systems - data warehouse and data marts






50. Extract - Transform and Load