A datawarehouse for management of data from wireless sensors to monitor the habitat of bees was shown in [5]. This work proposes a model to extract, transform and normalize data from sensor networks and load them into a datawarehouse. Thus, this data can be easily analyzed by experts to assist in the process of decision making. However, this work did not present techniques for filtering data generated by sensors, which can be large in volume and impair the process of information retrieval. The assumption that the databases to be integrated are already consolidated was considered, but in practice the treatment of large volumes of data ends up being the most costly part of the system.