Create scalable, resilient, and cost-efficient data pipelines with DinoCloud’s Event-Driven Data Processing solution.
By leveraging AWS Lambda and other serverless AWS services, our solutions focuses on processing large numbers of files or streaming data in real-time, preparing and transforming it for use in downstream systems such as Machine Learning (ML) models or Business Intelligence (BI) dashboards.
The architecture is centered around an event-driven approach, using services like Amazon S3, Amazon SNS, and DynamoDB Streams to trigger AWS Lambda functions that process, validate, and transform incoming data. For more complex workflows, we use AWS Step Functions (state machines) to orchestrate multi-step data processing tasks, ensuring high fault tolerance, visibility, and traceability throughout the pipeline.
AWS Lambda is a serverless computing service that allows you to run code without provisioning or managing servers.
It automatically scales your applications by running code in response to triggers, such as changes in data or system state, and events from other AWS services.
By eliminating the need for server management, AWS Lambda lets developers focus solely on writing and deploying code, speeding up the development process and reducing costs.
With its automatic scaling, seamless integration with other AWS services, and support for multiple programming languages, AWS Lambda offers a flexible, cost-effective solution that charges only for the compute time used, making it an ideal choice for modern, scalable applications.
DinoCloud is an AWS Premier Partner
As an AWS-certified partner, DinoCloud brings expertise and best practices to optimize your Cloud environment.
We work together in a customized solution that meets your unique business requirements.
Use AWS Lambda for event-driven data processing to streamline machine learning and boost business intelligence with automated, actionable insights.
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