September edition: Lean data management
Here’s a round-up of the latest resources from HighByte. This inaugural edition includes three new blogs, offering best practices for data contextualization and architecting a unified namespace (UNS). You’ll also find technical resources on the latest release of HighByte Intelligence Hub, and two featured articles, including a spotlight on lean data management published by? IndustryWeek . Don’t miss the Industrial Talk Podcast with ???Scott MacKenzie, MBA ?and HighByte's Chief Product Officer? John Harrington .
Blogs
When it comes to data collection, who are you really serving? That objective often gets lost amid the OT/IT alignment discussions. When we focus on data silos that exist between OT and IT departments, we don’t spend enough time talking about how to make industrial data usable for the business. Our line of business colleagues (and their systems of record) are the ultimate customer. Read this post to learn how Industrial DataOps can help bridge this gap and provide contextualized data where it matters.
The unified namespace utilizes a hub and spoke architecture that provides the benefit of decoupling your data from the application layer. But how do you select the right protocol for your UNS?? Pete Larochelle ?and our partners at? NeoMatrix, Inc. ?share considerations for architecting a UNS, including protocol and topic namespace format, as well as some helpful resources in this post.
In this post, John Harrington provides an overview of HighByte Intelligence Hub version 2.5, highlighting new features that expand connectivity to? 微软 ?Azure services and improve system monitoring and management—enabling IT organizations to rapidly deploy the Intelligence Hub within their existing IT infrastructure.?
Video
In this 20-minute video,? Aron Semle ?demonstrates the new features in HighByte Intelligence Hub version 2.5. Aron starts with the new support for Azure IoT Central by walking through a use case that collects OPC UA data, models the data using the Microsoft DTDL standard, and then flows the modeled data into Azure IoT Central. Along the way, he shares how to remove unwanted data from payloads, define system variables, view flow statistics, and create alarm conditions. Aron closes with a quick demo of how to import third-party libraries and decode the binary using Sparkplug Payload.?
Articles
Cloud services are IT-centric tools. They structure data differently than operational systems, which means IT must spend a lot of time cleaning industrial data before it can be used by a line of business. Cleaning, contextualizing, and modeling data at the edge—before it reaches the Cloud—can solve these challenges. In this?Enterprise Viewpoint?article, John Harrington explains 6 ways an edge-native approach to data preparation can take your digital transformation to the next level.?
In this IndustryWeek top story,? Torey Penrod-Cambra ?explores how the same lean principles that have transformed manufacturing over the past three decades can also be applied to data management, enabling you to transform your raw industrial data into information.?
Podcast
John Harrington recently sat down with Scott MacKenzie of The Industrial Talk Podcast at the Digital Manufacturing Summit in Chicago to discuss improving operational data quality across the enterprise. Check out the interview to learn more about the role of data operations (DataOps) and hear John's unique insight on the “How”.?
Trial Program
Ready to experience?HighByte Intelligence Hub?in your unique environment? Join our trial program to get hands-on access to all features and functionality. Becoming a trial program member also gives you access to the latest beta software in development, a trial accelerator kit, and a HighByte team member to help guide you through your evaluation.