HighByte Blog
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Time to read: 7 minutes  Posted by Torey Penrod-Cambra For the past several months, 55 beta testers in 13 countries have been kicking the tires on HighByte Intelligence Hub version 3.0 and generously providing their feedback. Today, I’m excited to announce this major release is now available.
Version 3.0 is a step change for the Intelligence Hub and for the Industrial DataOps market. It raises the bar for what a DataOps solution can be at Enterprise scale. It introduces a powerful new Pipelines builder to curate complex data pipelines. It makes the often-vague concept of the Unified Namespace (UNS) tangible and achievable with an embedded MQTT broker—reducing additional software, cost, and administration overhead for our customers. I sat down with HighByte Chief Product Officer John Harrington to talk about some of these advancements available in Version 3.0, including Pipelines. His thoughts are below. I also provide insights from our partner Goodtech, a deep dive on the embedded broker, a review of new project management capabilities, and more. Time to read: 6 minutes  Posted by John Harrington I’m excited to announce that HighByte Intelligence Hub version 3.0 is now available in beta.
The release is packed with powerful new capabilities, including a fully integrated MQTT broker, enhanced Central Configuration, more intuitive user experience, and many more. These capabilities will enable you to rapidly deploy the data infrastructure you need to build a Unified Namespace (UNS), scale these deployments, manage the environment, and meet your advanced Industrial DataOps use case requirements. Time to read: 10 minutes  Posted by John Harrington The promise of Industry 4.0 has many manufacturing leaders thinking big. They envision a future in which real-time access to data opens the door to unprecedented levels of operational flexibility, predictability, and business improvement. For many, early-stage wins often lead to larger projects that stall or fail to scale because their data infrastructure couldn’t support the increasing project complexity.
Enter Industrial DataOps. DataOps (data operations) is the orchestration of people, processes, and technology to securely deliver trusted, ready-to-use data to all the systems and people who require it. The first known mention of the term “DataOps” came from technology consultant and InformationWeek contributing editor Lenny Liebmann in a 2014 blog post titled, “DataOps: Why Big Data Infrastructure Matters.” According to Leibmann: “You can’t simply throw data science over the wall and expect operations to deliver the performance you need in the production environment—any more than you can do the same with application code. That’s why DataOps—the discipline that ensures alignment between data science and infrastructure—is as important to Big Data success as DevOps is to application success.” Time to read: 7 minutes Posted by John Harrington The unified namespace (sometimes referred to as the UNS or universal namespace) can be an allusive concept for many of us as we move to an Industry 4.0. world. At HighByte, we define the UNS as a consolidated, abstracted structure by which all business applications are able to consume real-time industrial data in a consistent manner. The benefits of a UNS include reduced time to implement new integrations, reduced efforts to maintain data integrations, improved agility of integrations, access to new data, and improved data quality and security.
We are often asked if HighByte Intelligence Hub is a UNS. The answer depends on your priorities and project scope. We typically see three architectural patterns for implementing the UNS. HighByte Intelligence Hub can play a key role in each approach by both providing access and structure to the UNS or acting as the UNS. |
