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### Using Power BI One of the most interesting ways to use the information received from the connected device/s is to get near real-time analysis using the Microsoft Power BI tool.
In this section you will see how to configure this tool to get an online dashboard showing summarized information about the different sensors.
If you use AMQP, which is the recommended approach, you will need to have the AMQP port open on your firewall/router.
To check if the Stream Analytics job is receiving and processing data you can check the Azure management Stream Analytics monitor.This project is based on the Connect The Dots Raspberry Pi with Windows 10 Io T sample project but using the Azure Io T SDK to connect with Azure, instead of using an Event Hub.## Consuming the Io T Hub data You have seen how to use the Device Explorer to peek the data being sent to the Azure Io T Hub.The following section will show how to configure the Stream Analytics job created in the Setup section to take the input from the Io T Hub and push that summarized information to Power BI.##### Stream Analytics Input Setup Before the information can be delivered to **Power BI**, it must be processed by a **Stream Analytics Job**. As the Raspberry devices are sending information to an Io T Hub, it will be set as the input for the job.
### Setting up your Software To setup your Windows 10 Io T Core development PC, you first need to install the following: You can also rename the device and set the time zone by using the web server, but certain functions, like actually changing the date and time, are currently available only through Power Shell.