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Leer Challenge: Optimizing Customer Revenue Analysis | Query Engine Basics
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bookChallenge: Optimizing Customer Revenue Analysis

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Write a query that efficiently analyzes customer revenue using Materialized Views and Common Table Expressions (CTEs) on the retail_data_updated table:

  1. Create a Materialized View that pre-aggregates total revenue ('total_amount') for each 'customer_id' and 'customer_country'.
  2. Use a CTE to rank customers within each country based on their 'total_revenue'.
  3. Query the Materialized View to return the top 5 customers by revenue per country.
  4. Sort results by 'customer_country'.

Your query should return these columns:

  • 'customer_id' (unique customer identifier);
  • 'customer_country' (customer's country);
  • 'total_revenue' (sum of 'total_amount' for the customer);
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