menu
techminis

A naukri.com initiative

google-web-stories
Home

>

Cloud News

>

How to Lev...
source image

Medium

4w

read

381

img
dot

Image Credit: Medium

How to Leverage AWS Lambda for Serverless Data Processing with Python

  • AWS Lambda is a serverless compute service that automatically runs code in response to events such as HTTP requests via Amazon API Gateway, file uploads to Amazon S3, or even changes in a database.
  • Event-Driven Workflows: Lambda can trigger data processing workflows based on specific events (e.g., new data arriving in S3, database updates, or stream processing).
  • Scalability: Since AWS Lambda scales automatically, it’s ideal for handling high-volume, intermittent data processing tasks.
  • Best Practices: Efficient data handling, optimizing execution time, robust error handling, using environment variables for configuration, and ensuring security considerations are some best practices for leveraging AWS Lambda for serverless data processing.

Read Full Article

like

22 Likes

For uninterrupted reading, download the app