Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines

Big data pipelines are developed to process data characterized by one or more of the three big data features, commonly known as the three Vs (volume, velocity, and variety), through a series of steps (e.g., extract, transform, and move), making the ground work for the use of advanced analytics and M...

Descripción completa

Detalles Bibliográficos
Autores principales: Khan, Akif Quddus, Nikolov, Nikolay, Matskin, Mihhail, Prodan, Radu, Roman, Dumitru, Sahin, Bekir, Bussler, Christoph, Soylu, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863399/
https://www.ncbi.nlm.nih.gov/pubmed/36679360
http://dx.doi.org/10.3390/s23020564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863399/
https://www.ncbi.nlm.nih.gov/pubmed/36679360
http://dx.doi.org/10.3390/s23020564

Ejemplares similares