Machine Learning with Python, Jupyter, KSQL and TensorFlow
Confluent
FEBRUARY 6, 2019
And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. 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.
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