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Capacity planning and augmented analytics with elasticsearch

PLANEACIÓN DE CAPACIDAD Y ANALÍTICA AUMENTADA CON ELASTICSEARCH




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Artículos

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[1]
G. P. D’amico, “Capacity planning and augmented analytics with elasticsearch”, Rev. Ing. Mat. Cienc. Inf, vol. 10, no. 20, pp. 135–139, Jul. 2023, Accessed: Dec. 21, 2024. [Online]. Available: https://ojs.urepublicana.edu.co/index.php/ingenieria/article/view/938

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Esta obra está bajo una licencia internacional

Atribución/Reconocimiento 4.0 Internacional

Gian Piero D'amico,

Ingeniero en computación de la Universidad Rafael Belloso Chacín, Líder de Tecnologías Avanzadas. INDRA.


This article presents the application of Elasticsearch as a solution for capacity planning and augmented analytics in the enterprise field, Elasticsearch is a powerful data search and analysis tool that allows organizations to manage large volumes of information efficiently and in real time. In the context of capacity planning, Elasticsearch provides companies with the ability to collect and analyze data in real time to forecast and adjust their resources based on demand. This enables more accurate and optimized planning of resources, which in turn improves operational efficiency and reduces unnecessary costs. In addition, Elasticsearch facilitates augmented analytics, which combines the power of artificial intelligence and machine learning with data visualization, enabling organizations to gain deeper and more valuable insights from their data, identify hidden patterns and trends, and make more informed and strategic decisions.

DOI: http://dx.doi.org/10.21017/rimci.2023.v10.n20.a148


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