As you can see, the secret of working with big volumes of data is in good design patterns of the Data Platform. In the case of Redshift, we analyze the data structure, volume, and query patterns, and then apply the best practices of using sort keys, distribution styles, and compression encoding. It is obvious that we are depending on query patterns, and we can keep high performance for any queries. As a result, we should be very careful with the preceding options.