Architectural Approaches to Overcome Challenges in the Development of Data-Intensive Systems
Abstract
The article surveys challenges in designing data-intensive computing systems and explores popular software architectural styles to address these challenges.
Orientation of modern software systems towards data-intensive processing raises new difficulties in software engineering on how to build and maintain such systems. Some of the important challenges concern the design of software architecture. In this article, we survey the fundamental challenges when designing data-intensive computing systems and present some of the most popular software architectural styles together with their potential to tackle these challenges.
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