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Unlocking Faster & Efficient Data Processing w/ Serverless • Uma Ramadoss & Adam Wagner • GOTO 2023
Unlock faster and more efficient data processing with Step Functions, Lambda Functions, and EventBridge pipelining, leveraging low-code workflows, parallel processing, and real-time triggered workflows.
- Using Step Functions and Lambda Functions can help you process data faster and more efficiently.
- Step Functions is a low-code, serverless visual workflow service that can coordinate multiple tasks and services.
- Distributed Map is a feature in Step Functions that can process large datasets in parallel, reducing processing time and increasing scalability.
- Step Functions can handle partial failures and retries, making it a reliable option for processing large datasets.
- Layering is a feature in Lambda Functions that allows you to package reusable code and share it with other functions.
- Using EventBridge pipelining can help you integrate with multiple services and trigger workflows in real-time.
- Step Functions can be used for large-scale data processing, and can be used to scale out to thousands of concurrent tasks.
- Integration with DynamoDB and S3 allows for efficient data storage and retrieval.
- Using Step Functions can help you achieve faster development velocity and operational efficiency.
- Serverless architecture can provide cost savings and reduce operational burden.
- Step Functions integrates well with other AWS services, including Lambda Functions, DynamoDB, and S3.
- Using Step Functions can help you improve scalability, reliability, and performance.
- Fault tolerance is an important feature of Step Functions, allowing you to handle partial failures and retries.
- Step Functions provides a visual interface for designing workflows, making it easy to create and manage complex workflows.
- Using Step Functions can help you achieve a faster time-to-market for your data processing workflows.
- Step Functions provides a cost-effective solution for data processing, with pay-as-you-go pricing.
- Step Functions can be used for a wide range of use cases, including data processing, integration, and orchestration.
- Using Step Functions can help you simplify your data processing workflows and reduce the complexity of your systems.