AWS Developers | Building distributed data processing workloads with AWS Step Functions @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
Data processing is fundamental to organizations to meet business goals and unlock new business values such as operational efficiency, process optimization. When building data processing solutions, app developers face not only the challenges inherent to data such as data sanity, integration, security and governance but also skill gap with technology and tooling. Serverless services help developers build and deploy solutions using their familiar programming language without worrying about servers. The session introduce you to challenges with building distributed data processing workloads, explores how distributed map feature of Step Functions and AWS Lambda can solve the challenges with faster and efficient data processing, share use cases, best practices and resources to help you accelerate your data processing journey.
#AWS
Data processing is fundamental to organizations to meet business goals and unlock new business values such as operational efficiency, process optimization. When building data processing solutions, app developers face not only the challenges inherent to data such as data sanity, integration, security and governance but also skill gap with technology and tooling. Serverless services help developers build and deploy solutions using their familiar programming language without worrying about servers. The session introduce you to challenges with building distributed data processing workloads, explores how distributed map feature of Step Functions and AWS Lambda can solve the challenges with faster and efficient data processing, share use cases, best practices and resources to help you accelerate your data processing journey.
#AWS