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01_​MDF_​meets_​Apache_​Kafka

MDF meets Apache Kafka
MDF and Kafka Reader ExampleThis workflow reads and blends sensor data from an MDF file and temperature data from a Kafka cluster.The execution of this workflow requires:- KNIME Extension for Apache Kafka- KNIME MDF Integration- A Python 3 environment with asammdf library installed.NOTE: for the purpose of this example the temperature data read from Kafka have been randomlygenerated The MDF Reader node performsresampling given a custom rastervalue in order to match the frequency ofthe temperature data read from Kafka Connect to KafkaSignals to be read:- Motor speed (Chn 0)-Turbine speed (Chn 1)Signals read:-TemperaturePlot signals over timeJoin signals Kafka Connector MDF Reader Column Rename Kafka Consumer JSON to Table Round Double Round Double Line Plot Sorter Joiner MDF and Kafka Reader ExampleThis workflow reads and blends sensor data from an MDF file and temperature data from a Kafka cluster.The execution of this workflow requires:- KNIME Extension for Apache Kafka- KNIME MDF Integration- A Python 3 environment with asammdf library installed.NOTE: for the purpose of this example the temperature data read from Kafka have been randomlygenerated The MDF Reader node performsresampling given a custom rastervalue in order to match the frequency ofthe temperature data read from Kafka Connect to KafkaSignals to be read:- Motor speed (Chn 0)-Turbine speed (Chn 1)Signals read:-TemperaturePlot signals over timeJoin signals Kafka Connector MDF Reader Column Rename Kafka Consumer JSON to Table Round Double Round Double Line Plot Sorter Joiner

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: MP
Created at: 2019-11-21
On NodePit since: 2020-07-12
Last update: 2024-04-18
Created with KNIME version: v4.4.0
Tags: MDFKafkaApacheAutomotiveSensorIoTWTBdata blendingwill they blendonboardingdata engineering

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