Large-Scale Data Processing with Serverless on AWS
Data processing is fundamental to organizations to meet business goals and unlock business value through operational efficiency and 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 a skill gap with technology and tooling. Serverless services help you build and deploy solutions using familiar programming language without worrying about servers.
Key Takeaways:
In this workshop, you will learn about how to build large-scale data processing solutions using serverless services such as AWS Step Functions, AWS Lambda, and AWS Fargate. Join us, as we will cover:
•The distributed map feature of AWS Step Functions
•How to process large-scale data using AWS Step Functions, Lambda, Fargate
•Techniques to optimize cost
•Real world use cases
Webinar Recording
Presentation Materials
Modern Data-Processing Workshop Start-up Link Large-scale Data Processing with Step Functions Workshop AWS Step Functions Distributed Map Paved Path Additional Resources for AWS Step Functions Distributed Map Customer Success: Reducing Processing Time for ML Workflow Using AWS Step Functions Distributed Map with CyberGRX