Big Data Technologies in DataBio
| Autor: | Aphrodite Tsalgatidou, Arne J. Berre, Caj Södergård, Karel Charvát, Tomas Mildorf |
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| Přispěvatelé: | Södergård, Caj, Mildorf, Tomas, Habyarimana, Ephrem, Berre, Arne J., Fernandes, Jose A., Zinke-Wehlmann, Christian |
| Rok vydání: | 2021 |
| Předmět: |
FAIR data
Iterative and incremental development DataBio platform Computer science business.industry Data management Big data Software development open data reference model 15. Life on land Data science Data sharing Software big data Data-driven AI Data analysis big data pipelines data analytics business Reference model |
| Zdroj: | Big Data in Bioeconomy ISBN: 9783030710682 Södergård, C, Mildorf, T, Berre, A J, Tsalgatidou, A & Charvát, K 2021, Big Data Technologies in DataBio . in C Södergård, T Mildorf, E Habyarimana, A J Berre, J A Fernandes & C Zinke-Wehlmann (eds), Big Data in Bioeconomy : Results from the European DataBio Project . Springer, pp. 3-15 . https://doi.org/10.1007/978-3-030-71069-9_1 |
| DOI: | 10.1007/978-3-030-71069-9_1 |
| Popis: | In this introductory chapter, we present the technological background needed for understanding the work in DataBio. We start with basic concepts of Big Data including the main characteristics volume, velocity and variety. Thereafter, we discuss data pipelines and the Big Data Value (BDV) Reference Model that is referred to repeatedly in the book. The layered reference model ranges from data acquisition from sensors up to visualization and user interaction. We then discuss the differences between open and closed data. These differences are important for farmers, foresters and fishermen to understand, when they are considering sharing their professional data. Data sharing is significantly easier, if the data management conforms to the FAIR principles. We end the chapter by describing our DataBio platform that is a software development platform. It is an environment in which a piece of software is developed and improved in an iterative process providing a toolset for services in agriculture, forestry and fishery. The DataBio assets are gathered on the DataBio Hub that links to content both on the DataBio website and to Docker software repositories on clouds. |
| Databáze: | OpenAIRE |
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