ETL Pipeline Using Lambda Services

This survey paper extensively examines the utilization of serverless Lambda functions, with AWS Lambda as a primary exemplar, within Extract, Transform, Load (ETL) pipelines. It underscores the compelling advantages of serverless computing, including remarkable scalability, cost-effectiveness, and real-time data processing capabilities, rendering it an appealing choice for ETL tasks. The paper thoroughly dissects the intricacies of architecting ETL workflows using Lambda functions, emphasizing critical factors like scalability, monitoring, data integrity, security, cost optimization, complex workflow management, and resource limitations. Through a comparative analysis, it elucidates the superior merits of Lambda-based ETL over traditional methods, shedding light on reduced operational overhead, automatic scaling, and seamless cloud service integration. This paper serves as an indispensable resource for ETL practitioners, providing a robust framework for leveraging serverless computing’s potential in data processing and analytics, ultimately empowering efficient and cost-effective handling of diverse data sources and facilitating data-driven decision-making. It positions serverless Lambda functions at the forefront of modern ETL pipeline design and implementation, propelling data engineering practices into the future.