Work

Architecting for Real - Time Analytics: Leveraging Stream Processing and Data Warehousing Integration

Year: 2024

Type: article

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.

Source: International Journal of Science and Research (IJSR)

DOI: 10.21275/sr24925170923

Authors: Puneet Matai, Abir Bhatia

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4402991620

FWCI: 0.343

Cites:

Cited by: 2

Related to: 10