Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi all,
I'm creating a data flow between a remote equipment and Power BI (JSON format).
I create streaming dataset option in Power BI where I define the different fields of these data.
I also switch ON the "Historic data analysis".
Can someone clarify me the data memory limitations for my current scenario?
I've seen this official info:
However, I'm not sure if my current configuration is "none retention policy" or not.
In addition, can someone explain to me the differences between "historic data analysis" enabled or disabled in terms of rows limitations?
Thanks in advance
Solved! Go to Solution.
Hi @kmas,
>>However, I'm not sure if my current configuration is "none retention policy" or not.
AFAIK, FIFO mode is for live steam dataset, otherwise I think they will use the ‘non retention policy’ mode to store dataset.
>>In addition, can someone explain to me the differences between "historic data analysis" enabled or disabled in terms of rows limitations?
As document said, streaming dataset itself not cache/store data, so you can only create particular live tiles and can't do any customize on it.
Historic data analysis feature is for customize. If you turn on it, pushed records will caching to dataset so you cna use these history data to create other visualizations
Real-time streaming in Power BI
Regards,
Xiaoxin Sheng
Hi @kmas,
>>However, I'm not sure if my current configuration is "none retention policy" or not.
AFAIK, FIFO mode is for live steam dataset, otherwise I think they will use the ‘non retention policy’ mode to store dataset.
>>In addition, can someone explain to me the differences between "historic data analysis" enabled or disabled in terms of rows limitations?
As document said, streaming dataset itself not cache/store data, so you can only create particular live tiles and can't do any customize on it.
Historic data analysis feature is for customize. If you turn on it, pushed records will caching to dataset so you cna use these history data to create other visualizations
Real-time streaming in Power BI
Regards,
Xiaoxin Sheng
Thank you very much for the clarification!
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
97 | |
84 | |
67 | |
59 |
User | Count |
---|---|
150 | |
120 | |
99 | |
87 | |
68 |