Real-time Data Processing in E-commerce: Challenges and Solutions
Keywords:
Real-time data processing, E-commerce, Stream processing, In-memory databases, Cloud computing, Data integration, Low latency, Data accuracy, Big data.Abstract
In the rapidly evolving e-commerce landscape, real-time data processing has become crucial for
enhancing customer experiences and optimizing business operations. This paper explores the
challenges and solutions associated with implementing real-time data processing in e-commerce
platforms. Key challenges include handling massive data volumes, ensuring low latency,
maintaining data accuracy, and integrating diverse data sources. We review current technological
solutions such as stream processing frameworks, in-memory databases, and cloud-based
architectures that address these challenges. Case studies of leading e-commerce companies are
presented to illustrate successful real-time data processing implementations. The paper concludes
with a discussion on future trends and research directions in real-time data processing for ecommerce.
