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. Data accessible to the whole data warehouse






2. A group of related fact tables






3. Third stage of building a data mart






4. Requesting more information about a particular fact






5. A query created by a BI user






6. Online Analytical Processing






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






8. The business applications






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






10. A report created by an IT department user






11. First stage of building a data mart






12. Import data into a new database






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






14. These extend BI into automating and optimising processes






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






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






17. A group of conformed dimensions






18. Draws data from a data warehouse






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






20. 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)






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






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






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






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






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






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






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






28. Data about the data






29. A synonym for Business Intelligence






30. Second stage of building a data mart






31. The operational systems - data warehouse and data marts






32. Extract - Transform and Load






33. A summary record for a specific reporting period






34. Look-up tables referred to by fact tables






35. Fifth stage of building a data mart






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






37. Dimensions which are shared by two or more facts






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






39. Take data from a source system






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






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






42. A table containing foreign keys and values






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






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






45. Fourth stage of building a data mart






46. Requesting information about related facts






47. An alternative term for a data warehouse






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






49. 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






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