Introducing the Intelligence Hub version 2.3: Data conditioning, data pipeline monitoring & more
John Harrington
is the Chief Product Officer of HighByte, focused on defining the company’s business and product strategy. His areas of responsibility include product management, customer success, partner success, and go-to-market strategy. John is passionate about delivering technology that improves productivity and safety in manufacturing and industrial environments. John received a Bachelor of Science in Mechanical Engineering from Worcester Polytechnic Institute and a Master of Business Administration from Babson College.
Real-time performance monitoring is a crucial element of the Industry 4.0 revolution. Advanced analytics allow you to view or even predict anomalies in operational processes, such as asset performance, defects, or production bottlenecks in real time. But what about the integrity of data flows? As you become more reliant on analytics, disruptions to data collection, modeling, preparation, and delivery will reduce your operational agility, and could cause production delays, scrap, and other business challenges.
You need confidence that you have reliable data when you need it.
This is where HighByte Intelligence Hub version 2.3 comes in. The latest release of the Intelligence Hub enables you to condition raw data, view flow and connection status in the user interface, and easily monitor data pipelines at scale using the Intelligence Hub or your preferred third-party system-monitoring applications, like Splunk and Datadog. The release is packed with enhancements that make developing and troubleshooting data pipelines easier than ever.
You need confidence that you have reliable data when you need it.
This is where HighByte Intelligence Hub version 2.3 comes in. The latest release of the Intelligence Hub enables you to condition raw data, view flow and connection status in the user interface, and easily monitor data pipelines at scale using the Intelligence Hub or your preferred third-party system-monitoring applications, like Splunk and Datadog. The release is packed with enhancements that make developing and troubleshooting data pipelines easier than ever.
Version 2.3 is more than a user interface for data configuration. The application provides you with visual context for the health of your data flows. Version 2.3 is truly an interactive DataOps platform. Let’s take a closer look at some key enhancements now available in the Intelligence Hub.
1. Connection Monitoring and Flow State
Managing and monitoring data flows over time is critical to the scale and success of your digital initiatives. A single person in your organization may need to monitor hundreds of data pipelines and have the information needed to quickly identify and fix issues.
Version 2.3 allows you to view the status of flows and connections in the user interface with color-coded status indicators and receive alerts for critical issues, such as outages. You can also monitor the state of flows and connections with your preferred monitoring application.
Version 2.3 allows you to view the status of flows and connections in the user interface with color-coded status indicators and receive alerts for critical issues, such as outages. You can also monitor the state of flows and connections with your preferred monitoring application.
2. User Experience Improvements
As data availability increases, you need an efficient way to work with larger projects and data payloads. In version 2.3, you can click on an expanded view for entries with multiple lines of values. You also can perform test reads on instances to verify the data meets your expectations.
Another new feature is the ability to enable or disable multiple flows to perform common actions. Likewise, when browsing OPC tags for inputs, you can select a branch, and the entire tag list—including sub-branches—will be imported.
Another new feature is the ability to enable or disable multiple flows to perform common actions. Likewise, when browsing OPC tags for inputs, you can select a branch, and the entire tag list—including sub-branches—will be imported.
3. Conditioning Data
Collecting data at high rates to make sure you don’t miss an out-of-tolerance sample is inefficient and costly. Version 2.3 comes with an aggregate action that takes raw input values and buffers them over a period and then provides calculated (minimum, maximum, average, count and delta) values or access to the raw dataset to perform any calculation, resulting in potential cost savings and more efficient data handling.
The latest Intelligence Hub update also includes a deadband action, which allows the data to be filtered, so sensor noise or minor changes are ignored. The Intelligence Hub now centrally manages deadband and can easily apply it to one or multiple inputs.
The latest Intelligence Hub update also includes a deadband action, which allows the data to be filtered, so sensor noise or minor changes are ignored. The Intelligence Hub now centrally manages deadband and can easily apply it to one or multiple inputs.
4. File Connection
Images and videos are often created at the edge and must be sent to the cloud for processing and storage. CNC tool paths and CAD files are examples of critical files that are often stored in the cloud but are needed by on-premises systems for production.
Version 2.3 includes a new file connector that transports files from the edge to the cloud, the cloud to the edge, and machine to machine.
Version 2.3 includes a new file connector that transports files from the edge to the cloud, the cloud to the edge, and machine to machine.
5. Azure IoT Hub/Event Hubs Improvements
Pushing data to the cloud for further analytics, reporting, and storage is just half of the value. The next evolution is providing the analytics insights back down to the operator or machines to improve the outcome.
Both the Azure IoT Hub and Event Hubs connections now support writing information from Azure through the Intelligence Hub and back into the factory. They also support templating outputs, allowing full control of the payloads being sent to the cloud.
Both the Azure IoT Hub and Event Hubs connections now support writing information from Azure through the Intelligence Hub and back into the factory. They also support templating outputs, allowing full control of the payloads being sent to the cloud.
Additional Resources
We hope you are as excited as we are about these and many more new capabilities in version 2.3 that extend the scope and usability of HighByte Intelligence Hub with new connectivity options and a more insightful user experience. As you journey along your digital transformation path, we are as well. To learn more, check out these additional resources:
- Watch a recording of the release webinar.
- Read the release notes for details on new features and fixes.
- Request a free trial or log in to your existing account to test the software in your unique environment.
Get started today!
Join the free trial program to get hands-on access to all the features and functionality within HighByte Intelligence Hub and start testing the software in your unique environment.
