Real-Time Data Enrichment with AWS Lambda and DynamoDB
Abstract
In the era of big data and real-time analytics, organizations require efficient methods to enhance raw data streams with additional context before they are stored or analyzed. AWS Lambda and DynamoDB provide a serverless architecture for real-time data enrichment, allowing organizations to scale dynamically while reducing operational overhead. This paper explores the implementation of AWS Lambda and DynamoDB for real-time data enrichment, covering architecture, design patterns, security concerns, and cost optimization. We discuss the advantages of a serverless, event-driven approach for low-latency data processing and present a case study showcasing its practical impact.
How to Cite This Article
Raju Dachepally (2024). Real-Time Data Enrichment with AWS Lambda and DynamoDB . International Journal of Social Science Exceptional Research (IJSSER), 3(4), 80-82. DOI: https://doi.org/10.54660/IJSSER.2024.3.4.80-82