Harnessing the Quantum Flux: Architecting and Implementing Real - Time Data Streaming Pipelines with Apache Kafka, Apache Flink, and Cloud - Native Solutions
Abstract: The rapid evolution of data technologies has ushered in an era where real - time data streaming is pivotal for modern enterprises. This paper delves into the architectures and technologies that enable real - time data streaming, focusing on Apache Kafka, Apache Flink, and cloud - native solutions. It explores various use cases, including real - time analytics, monitoring, and decision - making. By providing insights into best practices for designing and implementing robust real - time data streaming pipelines, this paper aims to equip data engineers with the knowledge needed to harness the power of real - time data for enhanced business outcomes.
Keywords: Real - Time Data Streaming, Apache Kafka, Apache Flink, Cloud - Native Solutions, Real - Time Analytics, Data Pipelines, Monitoring, Decision - Making, Data Architecture, Stream Processing
How to Cite?: Abhijit Joshi, "Harnessing the Quantum Flux: Architecting and Implementing Real - Time Data Streaming Pipelines with Apache Kafka, Apache Flink, and Cloud - Native Solutions", Volume 12 Issue 11, November 2023, International Journal of Science and Research (IJSR), Pages: 2196-2206, https://www.ijsr.net/getabstract.php?paperid=SR24627194249, DOI: https://dx.doi.org/10.21275/SR24627194249