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Building Real-Time Data Pipelines with AWS Kinesis and Lambda

Author(s) Raju Dachepally
Country United States
Abstract Real-time data pipelines enable organizations to process and analyze streaming data as it is generated. AWS Kinesis and Lambda provide a serverless framework that is scalable, cost-effective, and easy to deploy. This paper explores the architecture, implementation, and optimization of real-time data pipelines using AWS Kinesis and Lambda. Topics include shard management, event triggers, stream partitioning, and error handling. With examples, diagrams, and flowcharts, this paper aims to equip developers and architects with actionable insights for creating efficient real-time data systems.
Keywords Real-Time Data Processing, AWS Kinesis, AWS Lambda, Stream Partitioning, Serverless Architecture, Event Triggers
Field Engineering
Published In Volume 3, Issue 7, July 2022
Published On 2022-07-13
Cite This Building Real-Time Data Pipelines with AWS Kinesis and Lambda - Raju Dachepally - IJLRP Volume 3, Issue 7, July 2022. DOI 10.5281/zenodo.14787225
DOI https://doi.org/10.5281/zenodo.14787225
Short DOI https://doi.org/g83tc9
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