Databricks Certified Data Engineer - Professional
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Discuss the role of CDF in handling complex data processing scenarios, such as merging multiple data sources with varying schemas. Describe how you would use CDF to manage schema evolution and data consistency in such scenarios, including any necessary code changes to implement this approach.
Discuss the role of CDF in handling complex data processing scenarios, such as merging multiple data sources with varying schemas. Describe how you would use CDF to manage schema evolution and data consistency in such scenarios, including any necessary code changes to implement this approach.
Simulated
Explanation:
CDF can play a crucial role in managing schema evolution and data consistency by tracking changes and applying them consistently across multiple data sources. This involves enabling CDF on the Delta Lake tables and using the change data to handle schema changes and ensure data consistency. This approach simplifies complex data processing scenarios and ensures robust data management.