Real-Time Processing and Big Data Analytics in High-Performance Cloud Frameworks
Keywords:
real-time processing, big data analytics, high-performance cloud frameworks, distributed computing, machine learningAbstract
The exponential growth of data generation has necessitated the adoption of high-performance cloud frameworks for real-time processing and big data analytics. These frameworks integrate advanced computing paradigms, such as distributed processing, edge computing, and scalable architectures, to provide efficient solutions for large-scale data challenges. Real-time data analytics enable businesses to derive insights and make decisions in milliseconds, addressing dynamic market demands and operational efficiencies. This paper explores the advancements in cloud technologies, including the deployment of machine learning algorithms and data visualization tools, within high-performance infrastructures. The analysis highlights key technologies, challenges in data latency, fault tolerance, and cost optimization, while offering insights into future trends such as serverless architectures and AI-enhanced analytics.
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Copyright (c) -1 Anuradha Bansal (Author)
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