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. Third stage of the data warehouse data architecture design process






2. The operational systems - data warehouse and data marts






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






4. Requesting information about related facts






5. Data accessible to the whole data warehouse






6. A report created by an IT department user






7. 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)






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






9. Third stage of building a data mart






10. 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)






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






12. Second stage of building a data mart






13. Used to support day-to-day operations






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






15. Fourth stage of building a data mart






16. These extend BI into automating and optimising processes






17. Extract - Transform and Load






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






19. Look-up tables referred to by fact tables






20. A table containing foreign keys and values






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






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






23. Online Analytical Processing






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






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






26. Extract - Load and Transform






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






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






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






30. An alternative term for a data warehouse






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






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






33. The business applications






34. Data about the data






35. A schema where dimensions are only connected to facts






36. A summary record for a specific reporting period






37. Take data from a source system






38. Import data into a new database






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






40. Fifth stage of building a data mart






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






42. A group of conformed dimensions






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






44. A query created by a BI user






45. A group of related fact tables






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






47. Draws data from 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. Draws data from operational or external systems