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






2. Draws data from operational or external systems






3. A summary record for a specific reporting period






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






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






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






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






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






9. Extract - Load and Transform






10. A synonym for Business Intelligence






11. A group of conformed dimensions






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






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






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






15. An alternative term for a data warehouse






16. First stage of building a data mart






17. Second stage of building a data mart






18. Draws data from a data warehouse






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






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






21. Extract - Transform and Load






22. Data about the data






23. A query created by a BI user






24. Requesting more information about a particular fact






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






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






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






28. 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)






29. These extend BI into automating and optimising processes






30. A report created by an IT department user






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






32. Third stage of building a data mart






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






34. 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






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






36. Fifth stage of building a data mart






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






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






39. Dimensions which are shared by two or more facts






40. Look-up tables referred to by fact tables






41. The business applications






42. Import data into a new database






43. Data accessible to the whole data warehouse






44. Take data from a source system






45. A table containing foreign keys and values






46. Fourth stage of building a data mart






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






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






49. Requesting information about related facts






50. The operational systems - data warehouse and data marts