Running a Redis SQL query doesn't have to be difficult, especially when introducing it into an existing architecture without disrupting the current SQL-based solution. One approach is to map table data to Redis data structures, such as Hashes with primary keys stored in Sorted Sets or Sets. This allows for queries like inserting data, querying by product ID, and querying by price using Redis equivalent commands. Another approach uses Apache Spark and the Spark-Redis library to store and access Redis data while maintaining a SQL interface, enabling users to insert, update, and query data using SQL commands with the underlying data mapped to Redis data structures.