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. Second stage of the data warehouse data architecture design process






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






3. Import data into a new database






4. A synonym for Business Intelligence






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






6. First stage of building a data mart






7. Used to support day-to-day operations






8. Data about the data






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






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






11. A report created by an IT department user






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






13. The business applications






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






15. Extract - Transform and Load






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






17. A group of conformed dimensions






18. Dimensions which are shared by two or more facts






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






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






21. Look-up tables referred to by fact tables






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






23. Second stage of building a data mart






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






25. Requesting information about related facts






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






27. 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






28. Draws data from a data warehouse






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






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






31. Fifth stage of building a data mart






32. The operational systems - data warehouse and data marts






33. A query created by a BI user






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






35. These extend BI into automating and optimising processes






36. Extract - Load and Transform






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






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






39. A summary record for a specific reporting period






40. Take data from a source system






41. 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)






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






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






44. Requesting more information about a particular fact






45. Draws data from operational or external systems






46. A table containing foreign keys and values






47. Online Analytical Processing






48. Data accessible to the whole data warehouse






49. A group of related fact tables






50. Fourth stage of building a data mart