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 query created by a BI user






2. Requesting more information about a particular fact






3. A schema where dimensions are only connected to facts






4. Used to support day-to-day operations






5. 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)






6. 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






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






8. Import data into a new database






9. 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)






10. A summary record for a specific reporting period






11. Third stage of building a data mart






12. Requesting information about related facts






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






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






15. Extract - Transform and Load






16. A group of related fact tables






17. Extract - Load and Transform






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






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. Fourth stage of the data warehouse data architecture design process






22. A table containing foreign keys and values






23. An alternative term for a data warehouse






24. Look-up tables referred to by fact tables






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






26. Data about the data






27. The operational systems - data warehouse and data marts






28. Dimensions which are shared by two or more facts






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






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






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






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






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






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






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






36. The business applications






37. A report created by an IT department user






38. Take data from a source system






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






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






41. A group of conformed dimensions






42. Second stage of building a data mart






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






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






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






46. Draws data from a data warehouse






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






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






49. First stage of building a data mart






50. Draws data from operational or external systems