There are many interesting questions we can ask about our analytics observations; most of them can't efficiently be answered by the status_update_views table. Here are a few:
- How many total views did status updates receive on each day of September?
- What percentage of status update views are via the Web, via our mobile app, and via third-party applications?
- Which hours of the day are most popular for viewing status updates?
- What is the average monthly growth of status update views this year?
In order to answer any of these questions efficiently, we will require a precomputed table that's structured with that question in mind. Instead of reading massive quantities of raw observations into memory and then computing ...
