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






2. Dimensions which are shared by two or more facts






3. 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)






4. The operational systems - data warehouse and data marts






5. These extend BI into automating and optimising processes






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






7. Requesting more information about a particular fact






8. Data about the data






9. Draws data from operational or external systems






10. A synonym for Business Intelligence






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






12. Draws data from a data warehouse






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






14. Used to support day-to-day operations






15. Third stage of building a data mart






16. Take data from a source system






17. First stage of building a data mart






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






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






20. A report created by an IT department user






21. Import data into a new database






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






23. A table containing foreign keys and values






24. Look-up tables referred to by fact tables






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






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






27. Fifth stage of building a data mart






28. Extract - Load and Transform






29. Requesting information about related facts






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






31. A summary record for a specific reporting period






32. 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






33. The business applications






34. Fourth stage of building a data mart






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






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






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






38. A group of related fact tables






39. Extract - Transform and Load






40. A group of conformed dimensions






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. Unlike independent data marts the marts are linked via middleware






43. Second stage of building a data mart






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






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






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






47. A schema where dimensions are only connected to facts






48. A query created by a BI user






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






50. Data accessible to the whole data warehouse