AWS End-to-End Data Pipeline - ERP CRM IoT to BI
About This Architecture
End-to-end AWS data pipeline ingesting ERP, CRM, and IoT data through batch and real-time paths into a medallion-architecture data lake. ERP and CRM systems feed AWS DMS and SQS respectively, while IoT devices stream via Kinesis Data Streams; all converge in AWS Glue for unified ETL processing into Bronze, Silver, and Gold zones. Data flows through AWS Glue Data Catalog and AWS Lake Formation governance into Amazon Redshift and Athena for analytics, with Amazon QuickSight delivering dashboards and reports powered by AWS CloudWatch monitoring. This architecture demonstrates production-grade data governance, multi-source ingestion, and scalable analytics on AWS.
People also ask
How do I build a production data pipeline on AWS that ingests ERP, CRM, and IoT data and serves analytics dashboards?
This diagram shows a complete AWS data pipeline using AWS DMS for ERP batch CDC, SQS for CRM queuing, and Kinesis for real-time IoT streams. All sources converge in AWS Glue ETL, flow through a medallion architecture (Bronze/Silver/Gold zones) in S3, and feed Amazon Redshift and Athena for analytics, with QuickSight dashboards and AWS Lake Formation governance.
- Domain:
- Data Engineering
- Audience:
- Data engineers building enterprise data pipelines on AWS
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