Watch this step-by-step video guide to learn how to create a data pipeline for your Industrial IoT solution using MQTT and Apache Kafka.

Why create an IIoT data pipeline using MQTT and Kafka? In a typical Industrial IoT scenario, your IIoT solution streams and processes millions of data samples per day. This continues to grow as you digitally transform. To process large volumes of data reliably and in a persistent manner at scale, and to make it readily available to enterprise applications, you need a scalable solution.

Apache Kafka is suitable for a very large and reliable storage and distribution system with high throughput. It acts as a buffer for the real-time stream of information coming from your industrial facility, and then timely feeds it into multiple enterprise applications such as Data Science and Analytics apps. However, Kafka is not well suited for structuring communication with Industrial IoT devices and sensors, which is a domain in which MQTT really shines. By creating a data pipeline using MQTT and Apache Kafka, you can address the challenges of bringing structured data seamlessly from your legacy systems, with proprietary software, to enterprise applications.


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👉 MQTT Essentials E-Book: https://bit.ly/3D1spwB
👉 MQTT Essentials blog series: https://bit.ly/2Y7cGxn
👉 MQTT 5 Essentials blog series: https://bit.ly/3mdRm0Z
👉 MQTT FAQs: https://bit.ly/3oo9Iio
👉 HiveMQ MQTT broker: https://bit.ly/3in5Pq6
👉 HiveMQ Cloud: https://bit.ly/3mdlgSX
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