From PostgreSQL to Databricks: Real-Time Ingestion for Analytics and Machine Learning

Streamkap offers a streamlined approach to setting up real-time data streaming from AWS PostgreSQL to Databricks, facilitating predictive maintenance and equipment health monitoring through a high-performance analytics pipeline. The process involves configuring AWS RDS PostgreSQL to be compatible with Change Data Capture (CDC) by adjusting database parameters and attaching a new parameter group, which enables sub-second latency streaming. Users can create and configure a new Databricks account or use existing credentials to establish a SQL Data warehouse, with necessary credentials like JDBC URLs and personal access tokens. To integrate with Streamkap, it is essential to safelist Streamkap's IP addresses and configure the PostgreSQL database with a dedicated user and role, ensuring secure data streaming. The setup concludes with connecting RDS PostgreSQL as a source and Databricks as a destination in Streamkap, allowing users to create pipelines for real-time data streaming with minimal latency.

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