Results 61 to 70 of about 48,436 (195)
Graphen im Big Data Umfeld - Experimenteller Vergleich von Apache Flink und Apache Spark [PDF]
, 2017 Graphen eignen sich ideal, um Relationen zwischen Objekten abzubilden. Allerdings benötigen die Big Graphs spezielle Systeme, um diese zu verarbeiten und zu analysieren.
Kaepke, Marc
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Estudio comparativo entre Apache Spark y Apache Flink en el procesamiento de streaming en entornos Big Data [PDF]
, 2023 La sociedad hoy plantea crecientes demandas de soluciones informáticas, cuando estas soluciones requieren el procesamiento de grandes volúmenes de datos, las herramientas tradicionales de procesamiento muestran limitaciones e inconvenientes derivados de ...
Fajardo, Hugo Manuel
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Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.Stroke disease has been the leading cause of death globally for the last several decades. Thus, the death rate can be decreased by early recognition of disease and ongoing surveillance. However, the largest obstacle to perform advanced analytics using the conventional approach is the growth of massive amount of data from various sources, including ...
Assefa Senbato Genale +2 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Intelligent systems have been widely used in various fields. They generate a large number of high‐dimensional time series monitoring data in the process of operation, which often hide various potential abnormal conditions, which bring hidden dangers to the stable operation of the system.
Feng Ye +4 more
wiley +1 more source
Machine Learning and Knowledge ExtractionThe rapid evolution of data-driven enterprises demands scalable and intelligent systems capable of managing substantial volumes of heterogeneous data in real time.
Santosh Reddy Addula +4 more
doaj +1 more source
Data Optimization using Apache Flink
International Journal of Engineering and Advanced Technology, 2019 Map Reduce, Flink, and Spark, also become more popular in the processing of big data lately. Flink will be an open platform Big Data processing system for Apache-powered batch storage and streaming of data. Flink's query optimizer is constructed for historical information processing (batch) based on parallel storage systems approaches.
Vikas S, Thimmaraju S N
openaire +1 more source
Evaluating Apache Spark and Apache Flink for Modern Data Streaming Solutions
International Journal For Multidisciplinary Research, 2021 Real-time data processing enables swift decisions based on continuous data streams and immediate insights from various data sources, modern data architectures now rely mostly on it. The paper reviews two of the most widely known distributed systems for real-time analytics: Apache Spark and Apache Flink, along with their unique challenges and solutions.
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Managing Measurement and Occurrence Uncertainty in Complex Event Processing Systems
IEEE Access, 2019 Complex event processing (CEP) is a powerful technology for analyzing streams of real-time events, coming from different sources, and for extracting conclusions from them.
Nathalie Moreno +3 more
doaj +1 more source
Spatiotemporal Aspects of Big Data
Applied Computer Systems, 2018 Data has evolved into a large-scale data as big data in the recent era. The analysis of big data involves determined attempts on previous data. As new era of data has spatiotemporal facts that involve the time and space factors, which make them distinct ...
Karim Saadia +2 more
doaj +1 more source
A Comparative Study of Hadoop MapReduce, Apache Spark & Apache Flink for Data Science [PDF]
, 2018 Distributed data processing platforms for cloud computing are important tools for large-scale data analytics. Apache Hadoop MapReduce has become the de facto standard in this space, though its programming interface is relatively low-level, requiring many
Akil, Bilal
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