Real Time Data Streaming and Orchestration
Year: 2025
Type: article
Abstract: In the modern data ecosystem, our project revolutionizes a high-level data streaming and orchestration systemthat integrates cutting-edge technologies to transform raw data into actionable insights. By synergisticallyintegrating Apache Kafka for real-time event streaming, Docker for containerized deployment, Apache Airflowfor workflow orchestration, and dual database solutions with MongoDB and PostgreSQL, the architecturedelivers an unparalleled level of sophistication in data processing. The new framework enables seamless eventcapture, intelligent data transformation, and fault-tolerant storage in heterogeneous computational environments,empowering high-performance data pipelines that can scale to handle sophisticated business demands. Thesystem's primary strength lies in its ability to process vast amounts of data with high fault tolerance, providingorganizations with a scalable, fault-tolerant platform for real-time analytics, enabling data-driven decisionmaking across a broad spectrum of applications from financial transactions to IoT ecosystems. By abstractinginfrastructure complexities and leveraging intelligent workflow management, the platform is a revolution in theway businesses can leverage technology to transform raw data streams into strategic organizational intelligence.
Authors: S. ANUSHA, CHENNA RAHUL, M.ZOE BRENADIN, BAKKA KARTHIK
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949669012
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