Scenario: Your team is tasked with integrating data from multiple sources into a centralized database. What steps would you take to ensure data consistency and accuracy in the modeling phase?
- Design a robust data integration architecture to handle diverse data sources
- Establish data lineage and documentation processes
- Implement data validation rules and checks to ensure accuracy
- Perform data profiling and cleansing to identify inconsistencies and errors
Ensuring data consistency and accuracy during data integration involves steps such as data profiling and cleansing to identify and rectify inconsistencies, implementing validation rules, and establishing documentation processes to maintain data lineage and traceability.
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