Redis is an open-source, in-memory data store renowned for its speed and versatility, making it ideal for caching, real-time analytics, and message brokering. In a streaming ETL (Extract, Transform, Load) workflow, Redis serves as a high-speed destination for transformed data, enabling rapid data retrieval and real-time processing. Its low-latency capabilities make it a key component in time-sensitive applications

• Session and State Management: Use Redis to manage user session data or application states updated in real-time via ETL workflows.
• Event Stream Aggregation: Load pre-aggregated or processed event data into Redis for fast querying and visualization.
• Queueing for Downstream Systems: Act as an intermediary message broker to distribute ETL-transformed data to other systems efficiently.
• Real-Time Caching: Store transformed data in Redis to provide quick access for applications and analytics dashboards.