Databricks Certified Data Engineer - Associate
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A data analyst working with Databricks SQL has developed a query to analyze various key metrics for an e-commerce business on a monthly basis. These metrics include the number of orders, repeat customers, total revenue, and profit across different geographical regions. The analyst aims to dynamically view results for specific states based on selection. What is the most efficient method to achieve this?
A data analyst working with Databricks SQL has developed a query to analyze various key metrics for an e-commerce business on a monthly basis. These metrics include the number of orders, repeat customers, total revenue, and profit across different geographical regions. The analyst aims to dynamically view results for specific states based on selection. What is the most efficient method to achieve this?
Explanation:
Query parameters in Databricks SQL enable the substitution of values into a query at runtime. By using a Dropdown List parameter type, the analyst can restrict the scope of possible parameter values, such as states, making the query dynamic and interactive. This approach allows for the selection of a specific state from the dropdown list, which is then substituted into the query at runtime, providing the desired results efficiently. This method is both flexible and user-friendly, eliminating the need for manual input or creating multiple views for each state.