{"id":{"repo_id":"rosario","oai_identifier":"oai:repository.urosario.edu.co:10336/41004"},"canonical_url":"https://search.dev.ndltd.org/etd/rosario/oai:repository.urosario.edu.co:10336/41004","repository":{"repo_id":"rosario","name":"Universidad del Rosario","base_url":"https://repository.urosario.edu.co/oai/request"},"display":{"title":"Big Data, un caso vinícola sobre calidad y clima","abstract":"El presente documento expone un análisis de variables climáticas conectado a una base de datos de calificaciones de múltiples vinos, el cual permite obtener información de rangos recomendables óptimos para la cosecha de la vid, y expone a un inversionista nuevos lugares para implementar un viñedo, o a un viñedo existente buscar nuevos sitios para implementar nuevas cosechas.","abstract_html":"El presente documento expone un análisis de variables climáticas conectado a una base de datos de calificaciones de múltiples vinos, el cual permite obtener información de rangos recomendables óptimos para la cosecha de la vid, y expone a un inversionista nuevos lugares para implementar un viñedo, o a un viñedo existente buscar nuevos sitios para implementar nuevas cosechas.","abstract_has_math":false,"creators":["Rodríguez Coronado, Carlos Enrique"],"institution":"Universidad del Rosario","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-09-19","date_published":"2023-09-19","updated_at":"2026-07-27T20:46:36Z","subjects":["Big Data","Ciencia de Datos","Vinicultura","Vinos","Clima","Vinicola","Calidad","Uva","Cepas","Viñedos","Data Science","Viticultire","Wine","Climate","Winery","Quality","Vine","Grape","Strains","Vineyard"],"languages":["spa"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["http://creativecommons.org/licenses/by/4.0/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.urosario.edu.co/handle/10336/41004"],"render_values":[{"text":"https://repository.urosario.edu.co/handle/10336/41004","href":"https://repository.urosario.edu.co/handle/10336/41004","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.48713/10336_41004","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Rodríguez Coronado, Carlos Enrique"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-09-19","2023-09-26T14:07:46Z"]},{"key":"dc:publisher","label":"Institution","values":["Universidad del Rosario","Escuela de Administración","Maestría en Administración MBA"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis","info:eu-repo/semantics/acceptedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Big Data","Ciencia de Datos","Vinicultura","Vinos","Clima","Vinicola","Calidad","Uva","Cepas","Viñedos","Data Science","Viticultire","Wine","Climate","Winery","Quality","Vine","Grape","Strains","Vineyard"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["spa"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess","http://creativecommons.org/licenses/by/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.48713/10336_41004","https://repository.urosario.edu.co/handle/10336/41004"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["El presente documento expone un análisis de variables climáticas conectado a una base de datos de calificaciones de múltiples vinos, el cual permite obtener información de rangos recomendables óptimos para la cosecha de la vid, y expone a un inversionista nuevos lugares para implementar un viñedo, o a un viñedo existente buscar nuevos sitios para implementar nuevas cosechas.","This document presents an analysis of climate variables connected to a database related to the quality of multiple wines, that allow to obtain information and recommend optimal ranges for the vine, and exposes to an investor new places to implement a vineyard, or existing vineyards to look for new places to implement new crops"]},{"key":"dc:format","label":"Dc Format","values":["62","application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["10 Most Innovative Data Science Companies in 2023. 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Qué es un análisis de mercado, cómo se hace y ejemplos. https://blog.hubspot.es/marketing/como-hacer-analisis-mercado","The Deciding Factor: Big Data & Decision Making. (2012, junio 4). Capgemini Worldwide. https://www.capgemini.com/resources/the-deciding-factor-big-data-decision-making/","Tudor, N. (2021, febrero 10). 7 real-world examples of how brands are using Big Data analytics. Bornfight. https://www.bornfight.com/blog/7-real-world-examples-of-how-brands-are-using-big-data-analytics/","Vaughan, A. (2023, junio 23). Top Big Data Tools & Software for 2023. TechnologyAdvice. https://technologyadvice.com/blog/information-technology/big-data-tools/","Vinos y Sabores. (s/f). Recuperado el 20 de agosto de 2023, de http://www.vinosygastronomia.com/variedades","Webb, A. (2018, octubre 26). 12 Wines From Countries You Didn’t Even Know... Culture Trip. https://theculturetrip.com/europe/united-kingdom/articles/12-wines-from-countries-you-didnt-even-know-made-wine/","What Is Big Data? (s/f). 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