HighByte Blog
Read company updates and our technology viewpoints here.
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Read company updates and our technology viewpoints here.
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Time to read: 11 minutes Since the third industrial revolution, manufacturers have been slowly but steadily automating their operations. From the PLC to ERP to Computer-Integrated Manufacturing (CIM), industry has adopted myriad advancements in technology to gain an edge and, sometimes, even to survive. Rapid technological advancement led to a slew of devices, applications, and services that were rarely introduced or managed under a holistic technology strategy. Time to read: 8 minutes Hannover Messe 2024 is just around the corner with the exhibit floor opening Monday, April 22 in Hannover, Germany. If you’ve never attended, Hannover Messe may truly be the world's leading trade fair for industrial technology, hosting more than 4,000 exhibitors and 130,000 on-site attendees each year. In this post, I’ll share a preview of what you can expect to see and hear from HighByte at the fair, including software demonstrations, product news, theatre presentations, and more. Elevate your industrial interoperability: A primer on data Pipelines in the Intelligence Hub3/8/2024
Time to read: 15 minutes In HighByte Intelligence Hub, the Pipelines feature was created to make modeled data consumable by a diverse range of applications and services. With the last few releases of the Intelligence Hub, Pipelines has undergone big changes to further that goal and more. From adding new functionality to refining the UX, Pipelines has swiftly evolved beyond its initial focus on “post-processing” payloads for advanced use cases. It has become a core data engineering capability to solve industrial interoperability problems within the Intelligence Hub. Time to read: 10 minutes One of the most common concerns I hear regarding the Unified Namespace (UNS) is the architecture lacks the versatility needed to address diverse downstream data consumers. Suppose quality, maintenance, and process engineers are all doing their part to support a production line. Quality teams need inspection results, maintenance teams need asset performance data, and process engineers need lot and process parameters. The teams need data sets that both overlap and differ by use case. These engineers are using different applications and services—anything from ERP modules for quality and maintenance to specialized ML platforms in the cloud—that each require very different data structures. Many of these applications and services do not easily interoperate with the UNS and its architectural conventions. They may not natively interface with MQTT brokers, nor should one expect them to. They may not consume payloads that were oriented around rigid asset hierarchy and publishing telemetry data from process control nodes. They may have completely different needs than what was envisioned when factory automation was installed and integrated. Their data needs can transcend how the UNS was initially architected and organized. HighByte Intelligence Hub can overcome these challenges. Through data modeling and pipelines, the Intelligence Hub enables the full potential of the UNS, delivering contextualized manufacturing data to the cloud. Let’s look at a sample architecture to see how. Time to read: 9 minutes In an earlier blog, “The power of payloads in your unified namespace,” I discussed the use of complex payloads combining multiple unified namespace (UNS) data streams to make the architecture more responsive to the diverse needs of consuming personas and systems. In this post, I want to show what these complex payloads might look like, how data models can enable a UNS architecture, and how easily HighByte Intelligence Hub can provide consuming systems with the necessary data—when and how it’s needed. |
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