A. Avoid calling 'collect()' or 'toPandas()' on the entire DataFrame unless absolutely necessary, as these operations bring all data into the client's memory.

B. Always specify the schema explicitly when creating the DataFrame from the view to prevent Snowpark from inferring it.

C. Leverage Snowpark's lazy evaluation and pushdown optimization capabilities by performing transformations and filtering on the DataFrame before executing actions.

D. Use 'session.sql()' with the view's definition to create the DataFrame, as this is generally faster than 'session.table()' for views.

E. Materialize the view into a temporary table using 'CREATE TEMPORARY TABLE AS SELECT FROM SALES SUMMARY VW before creating the Snowpark DataFrame.