Industrial companies face numerous challenges when it comes to eliminating data silos and enabling interoperability between OT devices and IT systems. Industrial IoT devices come from different manufacturers and may use various protocols and data formats. The diversity makes it difficult to unify data from IoT devices into one data stream.
Watch this webinar to learn how to seamlessly build an edge-to-cloud data pipeline for a data-driven factory.
Kudzai Manditereza, Simon Johnson, and Owen Compton dive into the challenges manufacturers face with data silos at the edge, including:
1. Difficulty deriving value due to the lack of standardized, contextualized, and easily accessible data
2. Rising costs to unlock data and connect edge systems for smart manufacturing
3. Lack of consistency in the language and structure of data in legacy systems
You will learn how to solve these challenges using MQTT, and see a demo of how HiveMQ Edge solves protocol conversion and data transformation at the edge. You will also learn how you can eliminate data silos and unify IIoT data to enable Unified Namespace, and feed key use cases.
Негізгі бет Ғылым және технология Eliminating Data Silos with MQTT at the Edge
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