CDC (Change Data Capture) solutions let us see every little change that happens on a database. It is possible to turn a CDC change register into a set of temporal tables that can be pushed through ETL to form a fully temporal data warehouse, where any change in the source is represented in the output tables (like facts or dimensions). In this paper we shortly describe our approach to temporal data warehousing and show how can the data from CDC can efficiently be extracted, transformed and loaded into the serving layer tables.