Risk Management in Volatile Markets with Data Streaming and Analytics

What this post added

This post details the integration of Confluent Cloud and Databricks for real-time risk management in financial markets. It outlines an architecture that uses Confluent's streaming capabilities to ingest and enrich market and portfolio data, feeding it into Databricks' Lakehouse for advanced risk calculations. Key components include the SSE Source Connector for market data, ksqlDB for real-time enrichment and joining with portfolio data, and the Databricks Delta Lake Sink Connector for exactly-once semantics data writing. Delta Live Tables are used for incremental transformations and Monte Carlo simulations, with results visualized through Databricks SQL.