
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Real-Time Analytics with Kafka and AWS Lambda
Author(s) | Raju Dachepally |
---|---|
Country | United States |
Abstract | Real-time analytics has become an essential component in modern enterprises, enabling businesses to process and analyze data as it is generated. Apache Kafka and AWS Lambda offer a powerful combination for building scalable, serverless, and event-driven real-time analytics solutions. This paper explores how Kafka can be integrated with AWS Lambda to achieve near-instantaneous data processing, discussing architecture, implementation strategies, scalability considerations, and security challenges. Additionally, we analyze use cases, performance benchmarks, and future trends in real-time analytics. |
Field | Engineering |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-15 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.39039 |
Short DOI | https://doi.org/g88hch |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
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