About This Architecture

AXS Data Platform implements a modern Snowflake hub architecture ingesting from MariaDB, Oracle, SQL Server, and PostgreSQL via AWS DMS and Amazon MSK Kafka. Raw data lands in Snowflake, flows through dbt models orchestrated by Apache Airflow for transformation, and surfaces analytics-ready tables with error detection via custom extractors. The platform supports B2B data sharing across Snowflake accounts and legacy egress to Amazon Redshift and SFTP, demonstrating a scalable multi-source ELT pattern. Fork this diagram to customize ingestion sources, add transformation logic, or adapt the orchestration workflow for your own cloud data stack. Error Extractor components highlight data quality validation as a first-class concern in the transformation pipeline.

People also ask

How do I build a scalable Snowflake data platform that ingests from multiple databases, transforms data with dbt and Airflow, and shares analytics across partner accounts?

The AXS Data Platform diagram shows a production-grade ELT architecture: MariaDB, Oracle, SQL Server, and PostgreSQL feed into AWS DMS, which streams to Amazon MSK Kafka. StreamSets consumes Kafka and lands raw data in Snowflake; dbt models transform it into analytics tables orchestrated by Apache Airflow. Error Extractor validates data quality, and Snowflake Data Shares enable secure B2B distribu