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PowerBI_LOVER's avatar
PowerBI_LOVER
New Member
1 year ago
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PC advise Specification for Developing Dashboards for "Big Data" multiple DAX codes

When working with advanced DAX codes in tools like Power BI, a high-performance machine is crucial for smooth data processing and report development. Here's an updated list of ideal PC specs for deve...
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  • MFelix's avatar
    MFelix
    1 year ago

    Hi PowerBI_LOVER,

     

    Even if you go for the service the refresh of 100m rows will take longer than 30 minutes specially if you are trying to do a lot of transformations and tables using dax.

     

    If you are trying to load 100m rows to desktop has I referred previously has a best practice you should not do that.

     

    The dax measures have no impact in terms of refresh since they are only calculated at the time you called them on your visuals.

     

    Altough I understand what you want to achieve with this type of configuration large semantic model should be setup with only part of the data and then push the refresh to the service. 

     

    On top of this having this large semântica models you also should consider the usage of incremental refresh or aggregation tables, this will reduce the refresh time but also the performance when building your reports. 

v-pnaroju-msft's avatar
v-pnaroju-msft
Community Support
1 year ago

Hi PowerBI_LOVER,

Thank you for initiating this valuable discussion. The perspectives shared here collectively provide a well-rounded understanding of Power BI performance tuning, covering aspects from hardware provisioning to best practices in semantic modelling.

To improve the visibility of this discussion within the forum, we kindly request you to mark the suitable response as the accepted solution and also extend kudos. This will greatly help other members with similar queries to identify the relevant information more conveniently.

Thank you.