Abstract
The extraction of necessary information and its interpretation in the case of biotechnological processes may be a difficult task. This is due to the fact that the large amounts of available data are often a combination of on-line and off-line measurements with a hierarchical structure. Moreover, the measurement data can be geographically dispersed and stored in the different types of databases. To facilitate the extraction of the most significant information on the biological process, the paper presents a model of integration of the hierarchical database with the relational one in the cloud computing environment. The relational database model will allow the less experienced bioprocess designers to find the answers to specific questions. The use of cloud services ensures sufficient data storage space and ease of data management. In turn, data integrity in the cloud environment is realized by means of DataBase Management System with Open DataBase Connectivity drivers.
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Choiński, D., Wodołażski, A., Skupin, P. (2014). Cloud Computing for Improving Integrity of Data from Biotechnological Plant. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_11
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DOI: https://doi.org/10.1007/978-3-319-10831-5_11
Publisher Name: Springer, Cham
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