Ultimate access to all questions.
You are designing a data pipeline for a financial services company that requires processing large volumes of transactional data. The data needs to be partitioned to optimize query performance and support efficient data retrieval. What partitioning strategy would you recommend, and how would you implement it in Azure Data Lake Storage Gen2?