Results 11 to 20 of about 14,382 (202)
IEEE Access, 2019 Apache Spark and Hadoop are open source frameworks for big data processing, which have been adopted by many companies. In order to implement a reliable big data system that can satisfy processing target completion times, accurate resource provisioning ...
Jinbae Lee, Bobae Kim, Jong-Moon Chung
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Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data. [PDF]
ProteomicsABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Stojanov R +12 more
europepmc +2 more sources
Tecnología, Ciencia y Educación, 2015 Los sistemas meteorológicos, como es el Sistema Mundial de Información Global de la Organización Meteorológica Mundial, necesitan almacenar diferentes tipos de imágenes, datos y archivos.
Marco Antonio Almeida Pazmiño +2 more
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Enhancing Approach for Information Security in Hadoop
JITCE (Journal of Information Technology and Computer Engineering), 2020 Using the Hadoop package, a proposed secure cloud computing system was designed. Hadoop would use the area to establish and enhance the security for saving and managing user data.
Yogesh Awasthi, Ashish Sharma
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The research of social processes at the university using big data [PDF]
MATEC Web of Conferences, 2021 The volume of information in the 21st century is growing at a rapid pace. Big data technologies are used to process modern information. This article discusses the use of big data technologies to implement monitoring of social processes.
Hacimahmud Abdullayev Vugar +2 more
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A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures [PDF]
, 2014 Scientific problems that depend on processing large amounts of data require overcoming challenges in multiple areas: managing large-scale data distribution, co-placement and scheduling of data with compute resources, and storing and transferring large ...
Fox, Geoffrey C. +4 more
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DIFET: DISTRIBUTED FEATURE EXTRACTION TOOL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface.
S. Eken, E. Aydın, A. Sayar
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A Framework for Attribute-Based Access Control in Processing Big Data with Multiple Sensitivities
Applied Sciences, 2023 There is an increasing demand for processing large volumes of unstructured data for a wide variety of applications. However, protection measures for these big data sets are still in their infancy, which could lead to significant security and privacy ...
Anne M. Tall, Cliff C. Zou
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Implementing Apache Spark jobs execution and Apache Spark cluster creation for Openstack Sahara[1]
Труды Института системного программирования РАН, 2018 In this paper the problem of creating virtual clusters in clouds for big data analysis with Apache Hadoop and Apache Spark is discussed. Existing methods for Apache Spark clusters creation are described in this work.
A. . Aleksiyants +4 more
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Smart Mobility with Big Data: Approaches, Applications, and Challenges
Applied Sciences, 2023 Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks.
Dohoon Lee, David Camacho, Jason J. Jung
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