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I'm aware of dataset eviction, and as large datasets consume more of your cacacity you may need to purchase a more expensive SKU. But why, as an end user, would I ever select a small data set storage size instead of a large one? Are there any drawbacks?
Thank you!
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Hi @mmossel ,
Just as the article you mentioned ,large dataset storage format has the following limitations.In my opinion, the bigger impact is the inability to download pbix files. I hope the following article will be of help to you.
If I do Large dataset storage format, click the slider to On, I can't download pbix?
Power BI Premium: Export .pbix files
Best Regards
Lucien
Hi @mmossel ,
Just as the article you mentioned ,large dataset storage format has the following limitations.In my opinion, the bigger impact is the inability to download pbix files. I hope the following article will be of help to you.
If I do Large dataset storage format, click the slider to On, I can't download pbix?
Power BI Premium: Export .pbix files
Best Regards
Lucien
Note that the list of Considerations and limitations has changed. Look online for the current list.
There is an option now that you can still download the report, but it will have a live connection to the data online. See https://learn.microsoft.com/en-us/power-bi/create-reports/service-export-to-pbix#download-modes
If you are planning to use XMLA -based tools to perform write operations, you can enable the large dataset storage format even for datasets that you wouldn’t necessarily characterize as large datasets because this storage format helps to boost XMLA write performance.
Additionally as per my understanding, a large dataset storage is on premium file storage -Premium file shares are backed by solid-state drives (SSDs) and provide consistent high performance and low latency, within single-digit milliseconds for most IO operations, for IO-intensive workloads
Hope this gives you some insight... If you think this answers your question, please accept this as a solution.