A company built a sales reporting system with Python, connecting to Snowflake using the Python Connector. Based on the user's selections, the system generates the SQL queries needed to fetch the data for the report. First it gets the customers that meet the given query parameters (on average 1000 customer records for each report run), and then it loops the customer records sequentially. Inside that loop it runs the generated SQL clause for the current customer to get the detailed data for that customer number from the sales data table. When the Data Engineer tested the individual SQL clauses, they were fast enough (1 second to get the customers, 0.5 second to get the sales data for one customer), but the total runtime of the report is too long. How can this situation be improved?
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