Amazon Redshift best practices for designing tables
As you plan your database, certain key table design decisions heavily influence overall query performance. These design choices also have a significant effect on storage requirements, which in turn affects query performance by reducing the number of I/O operations and minimizing the memory required to process queries.
In this section, you can find a summary of the most important design decisions and best practices for optimizing query performance. Working with automatic table optimization provides more detailed explanations and examples of table design options.
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