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Informative Article | Engineering Science | India | Volume 8 Issue 12, December 2019 | Popularity: 4.2 / 10
Event-Driven Data Processing for Business Intelligence Reporting
Girish Ganachari
Abstract: When comparing event-driven data processing versus batch processing, the former adds important insights. Routers, consumers, and producers are three crucial elements of event-driven architecture to collaborate to guarantee precise and prompt data analysis and transmission. Businesses may use real-time data analytics to find new patterns and trends. Moreover, the difficulties with complexity and inconsistent information. Businesses may handle efficient BI reporting and event-driven data processing by implementing strategies like separate data volumes and the auto-scaling mechanism.
Keywords: Auto-scaling, batch processing, real-time data analytics, microservice architecture, functional hierarchy
Edition: Volume 8 Issue 12, December 2019
Pages: 2077 - 2080
DOI: https://www.doi.org/10.21275/SR24801085403
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