
12/11/2020 · Sebastian Maurice
What this post added
Introduces Transactional Machine Learning (TML) as a paradigm for integrating data streams with AutoML, using Apache Kafka as the backbone. Details the MAADS-VIPER connector for creating transactional training datasets from Kafka streams, MAADS-HPDE for AutoML, and the MAADS Python library for low-code development. Contrasts TML with conventional ML, emphasizing Kafka's role in data fluidity and stream joining. Mentions Confluent Tiered Storage for data rollback and the architectural benefits of microservices for TML solutions.