The problem of low-latency processing of large amounts of data acquired in continuously changing environment has led to the genesis of Stream Processing Systems (SPS). However, sometimes it is crucial to process both historical (archived) and current data, in order to obtain full knowledge about various phenomena. This is achieved in a Stream Data Warehouse (StrDW), where analytical operations on both historical and current data streams are performed. In this paper we focus on Stream Materialized Aggregate List (StrMAL) – a stream repository tier of StrDW. As a motivating example, the liquefied petrol storage and distribution system, containing continuous telemetric data acquisition, transmission and storage, will be presented as possible application for Stream Materialized Aggregate List.