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In a scenario where you are working with a data pipeline that ingests large volumes of financial transaction data, you need to implement a partition strategy for handling the data in Azure Data Lake Storage Gen2. What partitioning approach would you recommend, and how would you implement it to ensure efficient data processing and analysis?