International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 28

Singapore | Computer Science and Information Technology | Volume 13 Issue 9, September 2024 | Pages: 1586 - 1590


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

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Pooja N Rating: 10/10 😊
2024-10-01
A very precise and apt explanation on how to reduce the TCO on current DWH footprint and at the same time make it worthy of modern day real time technologies to get max business value.

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