Software Toolbox Technical Blog

Cogent DataHub is known for its extensive connectivity to OPC DA, OPC UA, OPC A&E, Databases, Excel, ODBC, DDE, Linux, Modbus.  The latest Version 10 release expands connectivity to include a wide range of common external historian solutions for historizing industrial data and integrating historized data with other systems.

In this blog post, we'll highlight some specific key details about which historians are supported and how other DataHub functionality works with those historians to provide flexible options.

Cogent DataHub is known for its extensive connectivity to OPC DA, OPC UA, OPC A&E, Databases, Excel, ODBC, DDE, Linux, Modbus.  The latest Version 10 release adds a huge amount of new or expanded functionality that further confirms our saying that "once the data is in DataHub, it can go anywhere".

In this blog post, I'll provide insight into key new features including support for OPC UA Alarms & Conditions, support for Sparkplug B for both the MQTT Client and Broker, support for reading and writing with multiple popular external historians and more. Not only will I cover what these new functionalities provide but how they can help you deliver secure, integrated connections within and between your plants, to the cloud and beyond, giving you the data and perspective you need to make critical decisions for your enterprise.

If you've seen our other, more detailed posts (specifically our Exploring OPC UA post and the DataHub OPC UA video how-to) on getting Cogent DataHub working with OPC UA clients and servers, you are probably already familiar with configuring Cogent DataHub for secure access from an OPC UA client. However, we are commonly asked how to quickly get the DataHub OPC UA server interface ready for an OPC UA client to securely connect for accessing data from the variety of other interfaces that DataHub supports.

Continuing our Tech Support Corner blog series, this short post covers just the basics for setting up the Cogent DataHub OPC UA server interface to use the highest level of security and to require a client to specify a username and password for authentication.

IoT, IIoT, MQTT, Connectivity of Things, Big Data, The Cloud - by now, you've heard these terms in some way, shape or form.  Perhaps you're working on a project requiring you to push and/or pull important process or business data to/from a cloud solution. Big data analytics applications ranging from predictive maintenance to "smart" manufacturing, amongst many other use cases, are becoming more and more common.

And Google© is a household name both in the private and professional world. Chances are, you got here using Google – whether through a Google search, or by using Google Chrome (or both). But did you know that Google has their own cloud solution called Google Cloud IoT Core©? Amongst many other things, Google Cloud IoT Core acts as an MQTT broker for storing and sharing important data in a secure cloud along with artificial intelligence and analytics and many other IoT services.

But how do you go from your data sources to Google Cloud IoT Core? In this second post in a series about connecting DataHub to IoT solutions (if you missed our first post on connecting to Amazon AWS IOT Core©, click here), we'll step through how you can configure Google Cloud IoT Core and connect it to your process and business data sources using the Cogent DataHub IoT Gateway©.

As you may have seen in our recent posts in our ongoing Exploring OPC UA blog series, we've been going into the specifics of OPC UA security configuration in key Software Toolbox solutions that are OPC UA capable.

In this sixth post of the series, we will focus on Cogent DataHub, focusing on stepping through what the settings are in DataHub and how to get connected both for your OPC UA clients and servers.

While the recent winter storm in Texas and its rolling energy shortages has brought the subject of the availability of affordable energy and deregulation of power markets to the forefront of the conversation, this has been a problem in many areas of the world for a long time. This is mainly because of the large fluctuations in the price of energy that both residents and businesses have to endure.

It's ultimately the law of supply and demand driving such issues - when energy supply is eclipsed by extraordinary demand for it, an inconvenience during the best of times becomes a crisis in the case of extreme situations such as unexpected winter weather, devastating storms, hotter than normal summers and other unpredictable situations.

In the case of manufacturing and other industries that rely on energy as an input for operations, the cost of energy can literally determine whether a production run is profitable or not. This post discusses methods for monitoring energy costs in real-time from your HMI, SCADA or MES system using OPC UA or OPC DA, for decision support to prevent avoidable losses. 

IoT, IIoT, MQTT, Connectivity of Things, Big Data, The Cloud - I'm sure you've at least heard these terms in the course of your day (whether in the scope of your job or in an advertisement during a football game you happen to be watching).  Maybe you're even working on a project requiring you to push and/or pull important process or business data to/from a cloud solution - possibly for big data analytics applications ranging from predictive maintenance to "smart" manufacturing, amongst many other use cases.

And Amazon© - well, I'd wager there isn't a single person out there who doesn't know who Amazon is. But did you know they have their own cloud solution called Amazon IoT Core©? And maybe you didn't also know that Amazon AWS (Amazon Web Services©) IoT Core acts as an MQTT broker for storing and sharing important data in a secure cloud along with artificial intelligence and analytics and many other IoT services.

But how do you go from your data sources to AWS IoT Core? In this post, we'll step through how you can configure "things" in Amazon AWS IoT Core and connect them to your process and business data sources with the Cogent DataHub IoT Gateway©.

If you've read our other posts on sharing XML data, you'll remember that our tech support team regularly gets asked how to integrate XML (eXtensible Markup Language) data with other systems such as OPC clients or servers, databases, devices or even the cloud.

Continuing our discussion on Integrating XML Data (part of our continuing Tech Support Corner blog series), this post covers how to integrate XML data with a variety of other systems including OPC clients and servers, databases and more using the built-in scripting engine and interfaces of Cogent DataHub.