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






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






3. Requesting more information about a particular fact






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






5. A group of conformed dimensions






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






7. Dimensions which are shared by two or more facts






8. Second stage of building a data mart






9. Online Analytical Processing






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






11. 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






12. A group of related fact tables






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






14. Data accessible to the whole data warehouse






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






16. A synonym for Business Intelligence






17. Used to support day-to-day operations






18. Take data from a source system






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






20. A query created by a BI user






21. A table containing foreign keys and values






22. Data about the data






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






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






25. Third stage of building a data mart






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






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






28. Draws data from a data warehouse






29. Fourth stage of building a data mart






30. Extract - Transform and Load






31. These extend BI into automating and optimising processes






32. Extract - Load and Transform






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






34. A report created by an IT department user






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






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






37. A summary record for a specific reporting period






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






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






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






41. Look-up tables referred to by fact tables






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






43. First stage of building a data mart






44. Import data into a new database






45. Fifth stage of building a data mart






46. Requesting information about related facts






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






48. 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)






49. 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)






50. The operational systems - data warehouse and data marts