Karteikarten
DataAnalyticsDataManagementAmia22
Karten in diesem Stapel (19)
- 1Describe the general lifecycle for data?
- 2Where is there potential for data loss in the Data Life Cycle?At Integration, Processing and Analysis
- 3What is Validation?perform extensive testing on software to ensure that it is functioning as expected, test all functions including ones not supposed to be impacted, used for all NOn-FDA approved software and systems
- 4What is verification?performing limited set of tests on software to ensure that functioning as expected, tests a sampling of functions including some that should not be impacted, used to make sure the FDA approved software /system did not break in transit or installation
- 5List 3 types of mapping errors?Human mapping error
Systematic error
Errors causing missing data (truncation, insufficient memory, wrong data types) - 6what are 2 errors that can occur with data transformation?1) Loss of granularity - source more detailed than target, discrete data lost or no longer discrete
2) Loss of context - particularly with complex data (genomics) i.e. variant status - 7what should you do if you find an error with transformed data?check the source data: if source data is wrong, transformation is wrong, if source data s correct, than there is a transformation error
- 8what is data reconciliation?technology that uses process information and mathematical models to perform high level accuracy check on large amounts of migrated data ..i.e. data migration
- 9what is the purpose of data reconciliation?determine if data migration has gross errors
detects the presence or absence of errors but not the source of the error - 10what is a MAster data reconciliation?reconcile only master data btw source and target - -mostly unchanging data / no aggregate data operations is done --> look at # of records, rows, for both, look at users vs inactive users etc..
- 11what is "accuracy of activity" data reconciliation?ensures transaction are valid, correct in purpose , and properly authorized
- 12What is Transactional Data Reconciliation?detects mismatches in transaction that can affect BI - i.e. sum of revenue calculated in the source vs. target systems ,
- 13What is Automated Data Reconciliation?automated method where source data is loaded into meta tables, and data reconciliation algorithms are run. if it passes, loaded into target database
- 14What is the DIKW model?data --> information-->knowledge--> wisdom
- 15what is dataitem or signal with little or no meaning by itself
- 16what is information?data plus meaning
- 17what is knowledge?derived by discovering patterns and relationships btw pieces of informaiton
- 18what is wisdom?understanding and internalization of knowledge to apply it appropriately
- 19what is definition of information architecturethe way in which content is organized, structured, and labeled for the purpose of helping users find information and complete tasks in an effective and sustainable way - i.e. usability engineering, content management, user experience design , interaction design
Informationen
- Beschreibung
- informaticsBoards DAtaAnalytics Karteikarten am DataAnalyticsDataManagementAmia22, erstellt von Michael Riben am 10/10/2022.
- Erstellt von
- Michael Riben
- Aufrufe
- 1
- Bewertung