Exploring Usage of AWS Lambda in Data Processing

Shubhodip Sasmal
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Abstract

Cloud computing is changing game all around the industry. It’s delivering computing resources, such as storage, processing power without investing in and managing physical infrastructure, offering a more flexible and cost-effective approach to meet computational demands. Serverless computing is a cloud computing execution model where cloud providers automatically manage the infrastructure needed to run applications and scale. This paper examines use of AWS Lambda in Data processing, the leading serverless computing service of Amazon Web Services (AWS). Our study will explore the architecture, integration of AWS Lambda with other AWS services, real-world use cases, proposing best practices for Data processing. This research will provide a complete understanding of AWS Lambda and findings here are a valuable resource for people looking to unleash the benefits of AWS Lambda in a scalable and high-performance cloud-native application architecture.
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探索 AWS Lambda 在数据处理中的用法
云计算正在改变整个行业的游戏规则。它无需投资和管理物理基础设施就能提供存储、处理能力等计算资源,为满足计算需求提供了一种更灵活、更具成本效益的方法。无服务器计算是一种云计算执行模式,云提供商自动管理运行应用程序和扩展所需的基础设施。本文将探讨亚马逊网络服务(AWS)领先的无服务器计算服务 AWS Lambda 在数据处理中的应用。我们的研究将探索架构、AWS Lambda 与其他 AWS 服务的集成、实际使用案例,并提出数据处理的最佳实践。本研究将提供对 AWS Lambda 的全面了解,对于希望在可扩展和高性能云原生应用架构中释放 AWS Lambda 优势的人来说,本研究的发现是宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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