Another example of this pattern occurs in fraud prevention: in order to assess the risk of whether a particular purchase event is fraudulent, you can examine the reputation scores of the user’s IP address, email address, billing address, shipping address, and so on. Each of these reputation databases is itself partitioned, and so collecting the scores for a particular purchase event requires a sequence of joins with differently partitioned datasets [49].
