AWS End-to-End Data Pipeline - ERP CRM IoT to BI

aws · data pipeline diagram.

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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.

AWS End-to-End Data Pipeline - ERP CRM IoT to BI

AWSadvanceddata-pipelinedata-engineeringmedallion-architectureETLanalytics
Domain: Data EngineeringAudience: Data engineers building enterprise data pipelines on AWS
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Created by

March 23, 2026

Updated

March 23, 2026 at 10:04 AM

Type

data pipeline

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