AWS Data Pipeline Tutorial - How to Configure AWS Data Pipeline from MySQL to S3?

AWS Data Pipeline is used to pull data from AWS RDS MySQL to an AWS S3 bucket folder.
Reference Link: drive.google.com/file/d/1Dxlx...
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.
#AWSDataPipeline #MySQL #S3

[@samuelopeyemi8377]

Hi Cloud Guru. Thank You for this. Is there a way to use a cloudFormation template for this exact data pipeline instead of using the dashboard/console?

[@CloudGurus]

Yes we can do that.

[@sandeepsahu1716]

please advice me how we can refresh B2b dev database from B2b QA Database in aws

[@CloudGurus]

Refer this link: aws.amazon.com/blogs/database/orchestrating-database-refreshes-for-amazon-rds-and-amazon-aurora/