Mindmap
BIG DATA
Inhalt der Mindmap
BIG DATA
ORIGINS
- It can be said that the origins of Big Data date back to ancient civilizations when the need arose to obtain and document specific information. One example occurred in Athens in 431 B.C., when a plan was designed to escape from a particular city. Since its walls were enormous, it was crucial to collect precise data to build ladders with the exact height needed to ensure the plan's success. To achieve this, soldiers were ordered to count the brick blocks and, based on that information, calculate the exact ladder measurements. Thus, the first principles of Big Data began to be applied in the world, demonstrating that data collection and analysis have been fundamental since ancient times. (Holmes, 2018). Bibliografía Holmes, D. E. (2018). Big Data: una breve introducción. Antoni Bosch editor.
- PRIMEROS ELEMENTOS DE RECOLECCION DE DATOS: - Bastones, huesos, piedras con muescas para llevar control de inventario (hueso de ishango). - Quipus, telares que se supone llevaban contabilidad de los incas.
- It can be said that the origins of Big Data date back to ancient civilizations when the need arose to obtain and document specific information. One example occurred in Athens in 431 B.C., when a plan was designed to escape from a particular city. Since its walls were enormous, it was crucial to collect precise data to build ladders with the exact height needed to ensure the plan's success. To achieve this, soldiers were ordered to count the brick blocks and, based on that information, calculate the exact ladder measurements. Thus, the first principles of Big Data began to be applied in the world, demonstrating that data collection and analysis have been fundamental since ancient times. (Holmes, 2018). Bibliografía Holmes, D. E. (2018). Big Data: una breve introducción. Antoni Bosch editor.
IMPLICATIONS
- The most important implications of Big Data are based on the significant impact its evolution has had across various fields. If we analyze its applications, we can see that Big Data enables efficient data collection and analysis, from a simple product count in a neighborhood store to estimating the harvest in a banana plantation. Ultimately, the most relevant implication of advancements in this technology lies in decision-making based on data collection and analysis.
DEFINITIONS
- The translation of Big Data is "massive data" or "large-scale data." It refers to a set of technologies and processes designed to store and analyze large volumes of information that cannot be managed traditionally. Advanced databases are required for its access and processing. Big Data is defined by the 5 Vs: volume, velocity, variety, value, and veracity. These principles explain how it works and highlight the importance of its application across different sectors. Díaz Colchado, J. C., & Castro Arequipeño, A. (2021). Los Derechos Fundamentales Y Las Nuevas Tecnologías De La Información Y Comunicación: Una Aproximación. Themis: Revista de Derecho, 79, 15–35. https://doi-org.bibliotecavirtual.unad.edu.co/10.18800/themis.202101.001
MOTIVATIONS
- The main motivation behind Big Data lies in the enormous amount of data generated daily and the need to analyze it efficiently. Additionally, technological advancements have enabled more effective data management. Since information is present in almost every aspect of our lives, Big Data has become an essential tool with applications in various fields.
Informationen
- Beschreibung
- Mindmap am BIG DATA, erstellt von cristian alejandro am 08/02/2025.
- Erstellt von
- cristian alejandro
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- 6
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