Setting up data alerts on streaming data sets

Streaming data sets in Power BI are a cool feature that allows you to analyze data as it occurs. I was playing around with setting up this cool twitter demo using Flow as described here by Sirui: but was thinking, wouldn’t it be cool if I can get alerts based on the data that comes in. For example I want to get an alert when I get more than 20 negative Power BI tweets in the last hour. Unfortunately you cannot create measure at this time to add any logic but there is a way. Let’s take a look.

If you follow the above instruction you will end up with a dataset in Power BI that gets fed tweets and their sentiments real time. One change I made to the flow above is that I turned on “Historic data analysis

This gives me a dataset that I can build reports on and analyze data in the past similar to a push api dataset, more on this here.

So now I have this dataset I can start creating reports and dashboards (you can also add more data as described here to make things a bit more interesting):


and pin them to your dashboard:


So far so good but now I want to see only the count of tweets with sentiment <= 0.5 in the last hour. Here is where the trouble starts as I can’t express last hour in the report designer. Luckily there is another smart feature that will help us here called Q & A, I can just ask the question.


This immediately gives me the answer I need, just not completely in the right shape as I need this to be a single card, not a chart for data alerts to work. There is also an option for me to change this manually, so in this case I open the viz pane and select card:


Now I pin it to the dashboard and after renaming the tile I have the number of negative tweets in the last hour:


Now as last step I can configure my data alert to send me an alert when I get more then 20 negative tweets in hour:


Done Smile again goes to show you the power of Q&A. Pretty cool scenario and NO code required …

One Reply to “Setting up data alerts on streaming data sets”

Leave a Reply

Your email address will not be published. Required fields are marked *