About This Architecture

Dual-path Oracle-to-Snowflake migration combining batch and real-time data ingestion into a medallion architecture. Initial batch loads flow from Oracle Database through Fivetran or Informatica to cloud staging (S3/GCS), then into Snowflake via Snowpipe, while application events stream through Kafka producers, brokers, and Kafka Connect to Snowpipe Streaming for real-time ingestion. Both paths land in the Bronze raw layer, then flow through Silver transformation (powered by dbt) and Gold analytics layers, with comprehensive monitoring via DataDog or CloudWatch. This hybrid approach minimizes migration downtime while enabling continuous data synchronization post-cutover. Fork and customize this diagram on Diagrams.so to match your source systems, cloud provider, and transformation logic.

People also ask

How do I migrate data from Oracle to Snowflake while maintaining real-time synchronization?

This diagram shows a two-path approach: batch historical data flows from Oracle via Fivetran to S3/GCS staging, then into Snowflake Bronze via Snowpipe, while real-time application events stream through Kafka producers and Kafka Connect to Snowpipe Streaming. Both paths merge in Bronze, then transform through Silver (dbt) to Gold analytics layers, enabling zero-downtime migration with continuous s