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Review Papers | Computer Science and Information Technology | Singapore | Volume 13 Issue 9, September 2024 | Popularity: 5.5 / 10
Architecting for Real - Time Analytics: Leveraging Stream Processing and Data Warehousing Integration
Puneet Matai, Abir Bhatia
Abstract: This review explores integrating stream processing frameworks with traditional data warehousing to enhance real - time analytics. Key frameworks such as Apache Kafka, Apache Flink and Apache Storm are analysed for their ability to manage real - time data streams. The review highlights the importance of optimizing data flow, ensuring consistency, and minimizing latency, providing insights into hybrid models that effectively combine real - time and historical data for superior analytics performance.
Keywords: Real - Time Analytics, Stream Processing, Data Warehousing, Apache Kafka, Data Pipelines, Latency Management, Hybrid Architecture
Edition: Volume 13 Issue 9, September 2024
Pages: 1586 - 1590
DOI: https://www.doi.org/10.21275/SR24925170923
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