Machine Learning with Python, Jupyter, KSQL and TensorFlow
Confluent
FEBRUARY 6, 2019
Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training. New MQTT input data can directly be used in real time to make predictions. If you’re interested in what KSQL can do.
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