Sensorical aspect of the temporal data architecture -- pointer layer

Abstract

Development of information systems were and still is influenced by the approaches and techniques for data management. In the past, there was only small data amount processed, however, nowadays, the data portions to be handled, managed and stored is significant delimited by the validity, thus it is necessary to store also historical and future valid data. In the environment of sensorical data processing, the problem is really massive. To get optimal or sub-optimal solution performance, parallel and distributed architectures should be developed. In this paper, we deal with the grouping techniques based on developed pointer layer and highlight its impact on performance. All performance characteristics are based on column level temporal architecture, which is performance resistant to different granularities of the changes.