One of the big challenges people face when starting out working with Cassandra and time series data is understanding the impact of how your write workload will affect your cluster. Writing too quickly to a single partition can create hot spots that limit your ability to scale out. Partitions that get too large can lead to issues with repair, streaming, and read performance. Reading from the middle of a large partition carries a lot of overhead, and results in increased GC pressure.