Building Real-Time Streaming Pipelines with SingleStore and Apache Flink

This blog post discusses a real-time data processing pipeline that uses Apache Kafka as the backbone for distributed messaging, Apache Flink to process high-velocity data streams in real time, and SingleStore as a high-performance relational database capable of storing and querying processed data. The pipeline is built using Docker and Kubernetes, allowing it to be easily deployed and managed at scale. The project showcases how to handle real-time data at scale, including customizing the data generation frequency and database credentials.

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