Condition Monitoring with Streamsheets and MongoDB

Implementing a condition monitoring use case with Streamsheets and MongoDB. Production data is visualized, analyzed, processed and stored in a MongoDB.
This is an illustration of a real-time production process using MQTT and Streamsheets

Streamsheets is a great tool to visualize and analyze real-time data that comes from event streaming platforms like MQTT or Kafka. In a previous post we showed how you can create real-time dashboards to display the current data of now (or just a few seconds or minutes ago).

But how do you persistently store your data or your analysis results for a longer time using Streamsheets? In the following video, I demonstrate how you can feed a database like MongoDB with data from Streamsheets, just using one easy-to-use function called MONGO.STORE().

Once the data is sent to MongoDB, it is not only permanently saved, it can of course also be queried in any way using Streamsheets (which we will show in a future post) or any other query tool that supports MongoDB.

The following video is also the first video of a new and more professional presentation format that I call “Streamsheet TV”. I suggest that you view this video in full-screen mode.

Download Streamsheets and get started for free

Kristian Raue

Kristian Raue

Kristian is a serial Entrepreneur as well as Co-Founder of and Chief Evangelist at Cedalo. Currently, he focuses especially on topics around MQTT, Apache Kafka and the IoT.

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