I have done some research on my own, but cant seem to find a solution. We have an IoT solution in Azure. We are gathering real-time streaming data from sensors to Azure IoT HUB. This data is getting sent to Azure Stream Analytics and through Azure functions we will display the data in Power Bi. This works for us so far, but we want the real-time streaming data not only in browser mode but also in Power BI desktop. Since the desktop has way more functionalities this is important. Does anybody have any input on this?
We have tried what I described
You need to output the data from Stream Analytics to some kind of data store, like Azure SQL Database, Cosmos DB, etc. Then you can connect your PowerBI Desktop to that datastore.
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I am trying to get data from my Azure IoT hub to a database, which will be then displayed on a website.
I have seen many ways to ingest data such as azure data explorer cluster and stream analytics jobs. However, the issue i have with data explorer is that i cannot get connection details for the database so i cot connect to it using code. As for stream analytics jobs, MySQL databases are not supported, and I have only have experience with MySQL.
Does anyone know a way i can ingest data from my Azure IoT hub to a MySQL database? Thanks in advance.
You will have to write some code to do this.
You can for instance create an Azure Function that uses an IoTHubTrigger or EventHubTrigger so that the Function receives the messages that are available on the IoT Hub. In the Function, you write code to make sure that the data is inserted in the appropriate tables in your database.
Find some documentation regarding this here.
I want to get real-time sensor data from IoT devices using Azure cloud services. This would be displayed on a dashboard for monitoring purposes. What are the options available in Azure?
There are 2 approach you can try:
Azure IoT-Hub and Azure Data Explorer: Azure IoT-Hub allows you to connect your devices- and get the real time data from them. And you can then use Azure Data Explorer dashboard to visualize that data.
Refer: Ingest data from IoT Hub into Azure Data Explorer
Azure IoT-Hub and Power BI: Power BI is a well popular and advance tool for data visualization and analysis and then showing the findings on dashboard.
Power BI can also integrate with IoT-Hub data.
Refer: Using Power BI to visualize real time data from IoT Hub
I am pushing events to my Event hub, then this data is being analyzed in Azure Stream Analytics. I'd like to visualize output from stream analytics in Grafana.
What is the easiest approach to achieve this?
Azure Stream Analytics job can natively ingest the data into Azure Data Explorer. https://techcommunity.microsoft.com/t5/azure-data-explorer/azure-data-explorer-is-now-supported-as-output-for-azure-stream/ba-p/2923654
You can then use the Azure Data Explorer plugin in Grafana. https://techcommunity.microsoft.com/t5/azure-data-explorer/azure-data-explorer-is-now-supported-as-output-for-azure-stream/ba-p/2923654
Another option is to use Power BI instead of Grafana. https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-power-bi-dashboard
If I remember correctly, Grafana doesn't store data locally, you need to define a data source on top of one of the compatible storage systems.
Azure Stream Analytics doesn't come with a storage layer either, it's compute only.
So if you want to use ASA and Grafana, you need to output data from ASA to a data source that is supported by Grafana in ingress.
Looking at both lists that leaves only MSSQL via Azure SQL (hopefully it's compatible) as a native option. It's not a bad option for narrow dashboards, or if you intend to store your data in a RDBMS anyway. You can store your entire payload in an NVARCHAR(MAX) if you don't plan to consume the data in SQL.
But being clever, we can actually use the Functions output to write to any other store, or call any API. I'm not sure if Grafana has a direct ingestion API, but Azure Monitor does and it's a supported data source in Grafana.
The other option would be to go through ADX as explained in the other answer.
Not straightforward but doable ;)
I am new to Azure. I have sensors and would like to send data from sensors to the Azure backend, preferably to a database. After collecting those sensor data I would like to display them on a dashboard. I wonder if there is a sample tutorial or source code to implement such a solution. Hope you can help me.
Thanks in advance & Best Regards.
The Azure IoT Suite is an accelerator that configures a solution using standard Azure services and each one comes with a dashboard. The source code is available on GitHub: Remote Monitoring and Predictive Maintenance
There are multiple ways of achieving this as Azure is not a final product but consists of different "modules" if you will.
If the idea is to create a dashboard that shows the sensor data, you don't necessarily need to store them into a database. You can create live streams and display them. If the storage of data is also of concern, then in parallel you can do that as well.
The redirection logic of the data here would be Stream Analytics, it works with the concepts of an input sink, a query and an output sink. Now in your case you might want to create an Event Hub/ IoT Hub, then use it as an input sink to the Stream Analytics, and use PowerBI as the output sink. This will get the data and display it in PBi. If you also want to store the data, you can add another output sink for different options like , blob storage, document db, azure sql database etc.
Also there is an Azure IoT suite remote monitoring solution, that automates most of those tasks with some extra modules, you can use that to create a solution and use it as a boilerplate.
Below are step-by-step tutorials for;
Event Hubs
Stream analytics
PowerBI
Hope this helps!
Mert
I have created an azure ml experiment which fetches data from API and updates it in sql azure database. My power bi report picks data from this database and displays the report. The data from the source is changing frequently. So I need something like a checkbox in power bi which when checked will trigger the azure ml experiment and update the database with latest data.
I know that we can schedule it to run in Rstudio pipeline but we are not thinking of this approach as it is not financially viable.
Thanks in Advance.
You could use a direct query connection from Power BI to your Azure SQL instance. Then the reports in power bi will be always up to date with the latest data you have. Then the only question is when to trigger the ML experiment. If this really needs to be on demand (rather than on a schedule) you could do that in a button in your own App. You could embed the report in your app so that you get an end to end update.
You could have a look at the Azure Data Factory (ADF), that will help you build data pipelines in the cloud.
You can use ADF to read the data from the API (refresh your data), batch-wise-score it in Azure Machine Learning, and push it directly to your Azure SQL making PowerBI always seeing the latest data which will be scored.
Take a look at the following blog where they take data through this kind of pipeline. You just have to change that the data doesn't come from Stream Analytics but from your API.
http://blogs.msdn.com/b/data_insights_global_practice/archive/2015/09/16/event-hubs-stream-analytics-azureml-powerbi-end-to-end-demo-part-i-data-ingestion-and-preparation.aspx