How to create pre-computed tables in order to speed up the query speed

One of the issues that I am encountering presently is that we have certain very large tables (>10 Million rows).When we reference these large tables or create joins, the speed of query is extremely slow. One of the hypothesis for solving the issue is to create pre-computed tables, where the computation for the use cases will be done already and instead of referencing the raw data, we will query the pre-computed table instead Are there any resources in order to implement this ? Do we only use mySQL or can we also use Pandas or other such modules in order to accomplish the same Which is the optimal way?