The integration of low-code platforms with traditional software engineering practices presents a transformative approach to agile development. Low-code platforms enable rapid application development through visual interfaces and minimal coding, fostering increased collaboration and faster time-to-market. However, challenges such as limited customization and potential technical debt necessitate the involvement of experienced software engineers. This paper explores the synergies between low-code platforms and traditional development methodologies, proposing a hybrid model that leverages the strengths of both. We examine case studies where this integration has led to improved development efficiency and product quality, and discuss best practices for implementing this combined approach in agile environments.
Ajay Krishnan, Ritu Agarwal· International Journal of Art...· 0 citations
As the Internet of Things (IoT) proliferates, vast volumes of streaming sensor data are being generated in real-time, creating both opportunities and challenges for data-driven decision-making. This paper proposes a cloud-native architecture that integrates Snowflake’s scalable data platform with AWS Lambda's serverless compute capabilities to build real-time predictive analytics pipelines for IoT data. By leveraging AWS services for ingestion (such as Kinesis or MQTT over IoT Core), Lambda for event-driven processing, and Snowflake for scalable storage and analysis, the proposed solution enables rapid deployment of machine learning models to process streaming data. The architecture is designed to be low-latency, cost-effective, and easily extensible for a variety of industrial applications. A prototype implementation and performance evaluation are presented, demonstrating the effectiveness of the architecture in handling high-throughput, low-latency IoT workloads.
Ritu Agarwal· International Journal of Dat...· 0 citations
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