You are working on a data analytics project that requires the use of Azure Synapse Analytics. Your team has identified a need to implement a data transformation layer. What are some of the best practices to consider when designing and implementing the data transformation layer?

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Use Azure Data Factory, Azure Databricks, or Azure SQL Data Warehouse for data transformation tasks based on the specific requirements and complexity.

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Implement data validation and quality checks to ensure the accuracy and reliability of the transformed data.

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Design the data transformation layer to be modular and reusable, allowing for easier maintenance and scalability.

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All of the above.

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Microsoft Azure Data Engineer Associate - DP-203

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You are working on a data analytics project that requires the use of Azure Synapse Analytics. Your team has identified a need to implement a data transformation layer. What are some of the best practices to consider when designing and implementing the data transformation layer?