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Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas

Arévalo Merchán, Juan Pablo (Universidad Escuela Colombiana de Ingeniería Julio GaravitoBogotá (Colombia), 2020)

Diariamente, se generan grandes cantidades de datos en internet. El crecimiento exponencial de los dispositivos conectados y las nuevas formas de interacción humana con la tecnología proporcionan una gran fuente de ...
Smart Territories Competitiveness Based on Data Usage

Del Toro Osorio, Fabiola; Estévez, Elsa; Ospina Becerra, Victoria Eugenia (ACM Digital LibraryBelo Horizonte (Brazil), 2023)

Competitiveness is one of the important goals that economies are trying to achieve. Some experts associate competitiveness with stability and growth, and as such governments are designing solutions to increase competitiveness ...
Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Cadavid, Héctor; Garzón, Wilmer; Pérez, Alexander; López, Germán; Mendivelso, Cristian; Ramírez, Carlos (Springer NatureSwitzerland., 2018)

Colombia is a country with a huge agricultural potential, thanks to its size and geography diversity. Unfortunately, it is far from using it efficiently: 65% of its farmland is either unused or underused due to political ...
Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Cadavid, Héctor; Garzón, Wilmer; Pérez, Alexánder; López, Germán; Mandivelso, Cristian; Ramírez, Carlos (Springer NatureSuiza, 2018)

Colombia is a country with a huge agricultural potential, thanks to its size and geography diversity. Unfortunately, it is far from using it efficiently: 65% of its farmland is either unused or underused due to political ...

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Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas
...
Arévalo Merchán, Juan Pablo | 2020

Diariamente, se generan grandes cantidades de datos en internet. El crecimiento exponencial de los dispositivos conectados y las nuevas formas de interacción humana con la tecnología proporcionan una gran fuente de información. En este contexto, el análisis de datos en tiempo real es fundamental para tomar decisiones basadas en información actualizada. Varios factores, como la latencia, la escalabilidad, el almacenamiento, el procesamiento, la visualización y la predicción, afectan la forma en que se reciben y procesan estos datos. Diseñar una arquitectura adecuada para estos sistemas es un elemento crítico de cualquier negocio o empresa respaldada por la tecnología. En este artículo se estudia el estado del arte de las arquitecturas de sistemas para el análisis en tiempo real de big data en el contexto de las criptomonedas. Se presentan primero lambda y kappa, dos arquitecturas de referencia para el análisis en tiempo real en sistemas big data, y luego se exploran varios trabajos en los que se describen las arquitecturas de los sistemas de análisis en tiempo real para criptomonedas.

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Smart Territories Competitiveness Based on Data Usage
...
Del Toro Osorio, Fabiola | 2023

Competitiveness is one of the important goals that economies are trying to achieve. Some experts associate competitiveness with stability and growth, and as such governments are designing solutions to increase competitiveness to improve the quality of life in their communities. To contribute to this goal, we are currently researching how data can be used to increase competitiveness of Smart Territories. This paper presents the progress of our ongoing research that aims to answer the following question: Which artifacts drive the competitiveness of smart territories? This question will help us to answer the overall research question: How to obtain the greatest value from data to contribute to the competitiveness of smart territories?

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Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics
...
Cadavid, Héctor | 2018

Colombia is a country with a huge agricultural potential, thanks to its size and geography diversity. Unfortunately, it is far from using it efficiently: 65% of its farmland is either unused or underused due to political problems. Furthermore, vast of Colombian agriculture is characterized - when compared with other countries - by low levels of productivity, due to the lack of good farming practices and technologies. The new political framework created by the recently signed peace agreement in this country opens new opportunities to increase its agricultural vocation. However, a lot of work is still required in this country to improve the synergy between academia, industry, agricultural experts, and farmers towards improving productivity in this field. Advances in smart-farming technologies such as Remote Sensing (RS), Internet of Things (IoT), Big Data/Data Analytics and Geographic Information Systems (GIS), bring a great opportunity to contribute to such synergy. These technologies allow not only to collect and analyze data directly from the crops in real time, but to extract new knowledge from it. Furthermore, this new knowledge, combined with the knowledge of local experts, could become the core of future technical assistance and decision support systems tools for countries with a great variety of soils and tropical floors such as Colombia. Motivated by these issues, this paper proposes an extension to Thingsboard, a popular open-source IoT platform. This extended version aims to be the core of a cloud-based Smart Farming platform that will concentrate sensors, a decision support system, and a configuration of remotely controlled and autonomous devices (e.g. water dispensers, rovers or drones). The architecture of the platform is described in detail and then showcased in a scenario with simulated sensors. In such scenario early warnings of an important plant pathogen in Colombia are generated by data analytics, and actions on third-party devices are dispatched in consequence.

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Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics
...
Cadavid, Héctor | 2018

Colombia is a country with a huge agricultural potential, thanks to its size and geography diversity. Unfortunately, it is far from using it efficiently: 65% of its farmland is either unused or underused due to political problems. Furthermore, vast of Colombian agriculture is characterized- when compared with other countries- by low levels of productivity, due to the lack of good farming practices and technologies. The new political framework created by the recently signed peace agreement in this country opens new opportunities to increase its agricultural vocation. However, a lot of work is still required in this country to improve the synergy between academia, industry, agricultural experts, and farmers towards improving productivity in this field. Advances in smart-farming technologies such as Remote Sensing (RS), Internet of Things (IoT), Big Data/Data Analytics and Geographic Information Systems (GIS), bring a great opportunity to contribute to such synergy. These technologies allow not only to collect and analyze data directly from the crops in real time, but to extract new knowledge from it. Furthermore, this new knowledge, combined with the knowledge of local experts, could become the core of future technical assistance and decision support systems tools for countries with a great variety of soils and tropical floors such as Colombia. Motivated by these issues, this paper proposes an extension to Thingsboard, a popular open-source IoT platform. This extended version aims to be the core of a cloud-based Smart Farming platform that will concentrate sensors, a decision support system, and a configuration of remotely controlled and autonomous devices (e.g. water dispensers, rovers or drones). The architecture of the platform is described in detail and then showcased in a scenario with simulated sensors. In such scenario early warnings of an important plant pathogen in Colombia are generated by data analytics, and actions on third-party devices are dispatched in consequence.

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Repositorio Digital

ListarAD - CTG – Informática por tema "Análisis de datos"

Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas

Smart Territories Competitiveness Based on Data Usage

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Envíos recientes

Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas

Smart Territories Competitiveness Based on Data Usage

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

ListarAD - CTG – Informática por tema "Análisis de datos"

Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas ﻿

Smart Territories Competitiveness Based on Data Usage ﻿

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics ﻿

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics ﻿

Envíos recientes

Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas

Smart Territories Competitiveness Based on Data Usage

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Arquitecturas para el análisis de grandes cantidades de datos en tiempo real, aplicado a criptomonedas

Smart Territories Competitiveness Based on Data Usage

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics

Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics