Temat: big data technology, - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Generalized formal model of big data
Autorzy:: Shakhovska, N.
Veres, O.
Hirnyak, M.
Powiązania:: https://bibliotekanauki.pl/articles/410946.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:: analysis
data
model
big data
information technology
Opis:: This article dwells on the basic characteristic features of the Big Data technologies. It is analyzed the existing definition of the "big data" term. The article proposes and describes the elements of the generalized formal model of big data. It is analyzed the peculiarities of the application of the proposed model components. It is described the fundamental differences between Big Data technology and business analytics. Big Data is supported by the distributed file system Google File System technology, Cassandra, HBase, Lustre and ZFS, by the MapReduce and Hadoop programming constructs and many other solutions. According to the experts, such as McKinsey Institute, the manufacturing, healthcare, trade, administration and control of individual movements undergo the transformations under the influence of the Big Data.
Źródło:: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 2; 33-38
2084-5715
Pojawia się w:: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Small Farms as “Data Producers” for the Needs of Agricultural Management Information System
Autorzy:: Zysk, Elżbieta
Mroczkowski, Tomasz
Dawidowicz, Agnieszka
Powiązania:: https://bibliotekanauki.pl/articles/2105521.pdf
Data publikacji:: 2022
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: Agriculture Management Information System
agriculture
information technology
big data
precision agriculture
Opis:: In the face of current global threats, including the COVID-19 Pandemic, new technological solutions are needed. Globalization, progressing urbanization, the decreasing availability of cultivable land for food production, water contamination, flood risk and climate change, can all be viewed as potential threats to food safety. According to forecasts and trends, the future of both agricultural policy and agricultural innovation will be based on big data, data analytics and machine learning. Therefore, it is and will continue to be important to develop information systems dedicated to agricultural innovation and the management of food security challenges. The main aim of the study is a classification of data for a uniform AMIS from data from IREIS, GC and AIIS based on survey and expert interview data obtained. We propose to expand the range of data produced by small farmers while keeping in mind the protection of farmers and their rights and the possible benefits of the data provided. The literature recognizes the value of such data but it has not yet been legally regulated, protected, managed and, above all, properly used for agricultural and food security policy purposes. Therefore, we develop the idea of extended farmers’ participation in the production of agricultural activity data. The research used a survey questionnaire and expert interviews. A viable AIIS needs current data that farmers already produce as well as additional data needs which we identify in our research. We propose an architecture of databases and describe their flow in the Agriculture Management Information System (AMIS).
Źródło:: Geomatics and Environmental Engineering; 2022, 16, 3; 79--109
1898-1135
Pojawia się w:: Geomatics and Environmental Engineering
Dostawca treści:: Biblioteka Nauki

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