HighByte Blog
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Time to read: 6 minutes  Posted by Aron Semle Our latest release is packed with new features and capabilities that make common Industry 4.0 use cases not just easy, but fun!
Do you need to get SQL data into your Unified Namespace (UNS)? How about data from your test equipment that’s sitting around in CSV files? Maybe you’re moving away from SQL and experimenting with NoSQL alternatives because your data models are in a state of change? Even better, maybe you have your Edge-to-Cloud strategy figured out, and now you’re looking at “Cloud-to-Edge”, trying to get alerts generated by machine learning back to the factory floor. These are just a handful of use cases we hear from customers and new use cases we’ve enabled in HighByte Intelligence Hub version 1.4. Time to read: 6 minutes  Posted by Tony Paine In my last post, “An intro to industrial data modeling”, I shared my definition of a data model and why data modeling is important for Industry 4.0. I’d like to take that a step further in this post by explaining why you need a dedicated abstraction layer for data modeling to achieve a data infrastructure that can really scale.
Time to read: 7 minutes
 Post by Tony Paine
The data model forms the basis for standardizing data across a wide range of raw input data. An industrial DataOps solution like HighByte Intelligence Hub enables users to develop models that standardize and contextualize industrial data. In short, HighByte Intelligence Hub is a data hub with a modeling and transformation engine at its core.
But what exactly is a data model, and why is data modeling important for Industry 4.0? This post aims to address these questions and provide an introduction to modeling data at scale. Time to read: 7 minutes  Posted by Omar Ahmed Based on my conversations with more than 500 manufacturing companies and integrators over the past five years, I believe the Industrial Internet of Things (IIoT) will continue to be a paramount part of the manufacturing landscape in 2021. The new year will bring a continued increase in digitalization across enterprises. While we have seen an increase in “digital transformation” initiatives among manufacturing companies for several years, the COVID-19 pandemic and the challenges it created for production, safety, remote access, and supply chain have accelerated the urgency to make digitalization a reality. I also believe IIoT projects will continue to scale because of changes we are seeing in people, processes, and technology.
Here are five predictions for 2021. |
