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In the ever-evolving landscape of modern business operations, the seamless integration of data is a main factor for organizations aiming to get insights from diverse sources for analytical, artificial intelligence (AI), and machine learning (ML) workloads. Traditionally, the Extract, Transform, Load (ETL) process has been the cornerstone for preparing and consolidating data into a centralized repository. However, the challenges, complexities, and delays associated with traditional ETL have paved the way for innovative solutions, such as Zero-ETL, designed to streamline these critical processes.
Lambda@Edge is a powerful tool for optimizing application behavior. Here are some examples of using Lambda@Edge:
Serve Static Content: Use Lambda@Edge to serve static website content, reducing load on the origin server and latency.
Redirect Viewer Requests: Generate an HTTP redirect response with a country-specific URL, useful for providing country-specific responses.
Add a Header Based on a Query String Parameter: Illustrates adding a header based on a query string parameter.
Modify an HTML Form: Demonstrates modifying the body of a POST request generated by an HTML form using a CloudFront trigger.
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