Stay Ahead of The Curve: A Deep Dive into Performance Analysis of Streaming Data with Big Data Frameworks
DOI:
https://doi.org/10.59670/ml.v20iS4.3847Abstract
Organisations are scrambling to use big data frameworks to harness the power of streaming data in the age of real-time data. In this article, the complex dynamics of real-time data processing optimisation are explored. Offering useful insights and best practises, it explores performance analysis across dimensions like scalability, resource optimisation, latency reduction, fault tolerance, and benchmarking. This research enables organisations to navigate the changing data landscape, make wise technology decisions, and maintain an advantage in the race for real-time insights by bridging the gap between the exponential growth of streaming data and the need for effective analytics.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0