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. An alternative term for a data warehouse






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






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






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






5. 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






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






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






8. A group of related fact tables






9. Fourth stage of building a data mart






10. A group of conformed dimensions






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






12. A summary record for a specific reporting period






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






14. 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)






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






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






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






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






19. Data accessible to the whole data warehouse






20. A report created by an IT department user






21. Draws data from operational or external systems






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






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






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






25. Draws data from a data warehouse






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






27. These extend BI into automating and optimising processes






28. Requesting more information about a particular fact






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






30. The operational systems - data warehouse and data marts






31. Used to support day-to-day operations






32. A table containing foreign keys and values






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






34. Second stage of building a data mart






35. Import data into a new database






36. Take data from a source system






37. Extract - Transform and Load






38. Data about the data






39. The business applications






40. A schema where dimensions are only connected to facts






41. A query created by a BI user






42. Extract - Load and Transform






43. A synonym for Business Intelligence






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






45. Fifth stage of building a data mart






46. First stage of building a data mart






47. Requesting information about related facts






48. Online Analytical Processing






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






50. Third stage of building a data mart