Tag Azure

How to deal with Change Data Capture in Azure Data Explorer – Part 2

In part 2 of the series about Change Data Capture (CDC) in Azure Data Explorer, we look at another approach on how to handle data when only changes from the device to the cloud are sent.

How to deal with Change Data Capture in Azure Data Explorer

Change Data Capture (CDC) is a design pattern to only track the changes in data. There are several ways this could be implemented. In IoT solutions, the Change Data Capture (CDC) pattern is used, to only send changes from the device to the cloud. But how to deal with this data in Azure Data Explorer for further analysis?

Geographic information in Azure Data Explorer

Located someone in Azure Data Explorer with the use of a function and a scatter plot based on an IP-address.

Integrate Azure Data Explorer dashboards into Azure DevOps

It is possible to create an Azure Data Explorer cluster using ARM or Bicep templates. The only thing lacking is the ability to integrate ADX dashboards into Azure DevOps enabling Continuous Integration / Continuous Delivery, or is it?

Automatically deploy (layered) deployments to Azure IoT hub

Automatically deploy (layered) deployments to Azure IoT hub using Infrastructure as code (IaC). Because it makes your IoT hub deployments repeatable and more consistent.

Deploy IoT Edge modules at scale with layered deployments

At some point in your IoT project, you will need to create or update the modules of the IoT edge devices. When more and more devices are added, it becomes impossible to deploy the configurations by hand. In this article I explain the different possibilities for automatic deployments and I will walk you through the steps.

Analyze data in Azure Data Explorer dashboards

Azure Data Explorer is a fast and powerful Azure service for analyzing real-time data. Let’s see how to create a dashboard and make it available for users who may not be familiar with Kusto.

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