Also working in an ad company and also using bloomd, it rocks.
For HyperLogLog, we actually utilize our column based big data store. It is possible, also pretty easily, to create the HyperLogLog algorithm as an SQL query, which we can use to aggregate several useful metrics. This is super useful when you can combine it easily with several other metrics that are not using the HyperLogLog, e.g. making another facts table for your star schema.
For HyperLogLog, we actually utilize our column based big data store. It is possible, also pretty easily, to create the HyperLogLog algorithm as an SQL query, which we can use to aggregate several useful metrics. This is super useful when you can combine it easily with several other metrics that are not using the HyperLogLog, e.g. making another facts table for your star schema.