Dear distinguished colleagues: I am trying to come up with a data model that lets me do aggregations, such as sums and averages.
Here are my requirements: 1. Data may be updated concurrently 2. I want to avoid changing schema; we have a multitennant cloud solution that is driven by configuration. Schema is the same for all customs. Here is what I have at my disposal: 1. We have a proprietary distributed in memory column store that acts as a buffer between the server and Cassandra. Frequent reads are not a problem. 2. I know I have counter columns. I can do sums. But can I do averages ? One of the ideas is to record data as it comes in organized by time and periodically aggregate it. Thoughts ?
