From the post:
One of the most common use cases for Cassandra is tracking time-series data. Server log files, usage, sensor data, SIP packets, stuff that changes over time. For the most part this is a straight forward process but given that Cassandra has real-world limitations on how much data can or should be in a row, there are a few details to consider.
As it says in the title, “basic” time series, the post concludes with:
Indexing and Aggregation
Indexing and aggregation of time-series data is a more complicated topic as they are highly application dependent. Various new and upcoming features of Cassandra also change the best practices for how things like aggregation are done so I won’t go into that. For more details, hit #cassandra on irc.freenode and ask around. There is usually somebody there to help.
But why would you collect time-series data if you weren’t going to index and/or aggregate it?
Anyone care to suggest “best practices?”