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. Requesting information about related facts






2. A group of related fact tables






3. The business applications






4. Look-up tables referred to by fact tables






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






6. Second stage of building a data mart






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






8. Extract - Transform and Load






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






10. 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






11. Take data from a source system






12. First stage of building a data mart






13. Requesting more information about a particular fact






14. Draws data from a data warehouse






15. The operational systems - data warehouse and data marts






16. A group of conformed dimensions






17. An alternative term for a data warehouse






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






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






20. A table containing foreign keys and values






21. These extend BI into automating and optimising processes






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






23. Data about the data






24. Online Analytical Processing






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






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






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






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






29. Data accessible to the whole data warehouse






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






31. A schema where dimensions are only connected to facts






32. Used to support day-to-day operations






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






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






35. A query created by a BI user






36. A summary record for a specific reporting period






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






38. Import data into a new database






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






40. 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)






41. Extract - Load and Transform






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






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






44. Third stage of building a data mart






45. A report created by an IT department user






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






47. Fourth stage of building a data mart






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






49. A synonym for Business Intelligence






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