Tables in Cassandra should be designed according to the required query patterns. This is important to do, in order to ensure the queries can be served by a single node. However, this requires a balancing act to ensure that the required amount of query flexibility can be met. In Cassandra, typically one table is designed to serve one query. If you require the data to be consumed by additional queries, it is usually advisable to store it redundantly with a primary key designed to match the new query.
Of course, managing multiple tables essentially containing the same data can be cumbersome and subject to inconsistency. Thus it is recommended to keep the number of query tables relatively small (low single ...