Learn how to use data flow diagrams (DFDs) to model data movement in technical architecture. Discover what DFDs are, why they are useful, how to create them, and what benefits and challenges they ...

This project deploys a Neural Network trained with Keras and TensorFlow to a Kafka Streams / KSQL microservice for real time predictions. As TensorFlow's Java API is still not a stable release, this ...

The Electronic System Architecture Modeling (eSAM) method is a new model-based systems engineering (MBSE) approach for modeling system architectures. eSAM was created to effectively model Integrated ...

📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, ...