Power
BI datasets have several limitations that users should be aware of when
designing and working with their data models. Here are some of the key
limitations:
- Maximum
Size: The size of a dataset in Power BI is limited,
depending on the licensing model you’re using: - For
Power BI Pro users, the maximum size is typically 1 GB per dataset. - With
Power BI Premium, the maximum size can range from 10 GB to 400 GB per
dataset, depending on the Premium capacity SKU. - Data
Refresh: Power BI has limitations on data refresh
frequency and duration, especially for Power BI Pro users. Users are
limited in the number of times they can refresh data per day, and the
duration of each refresh is also capped. - Data
Volume: While Power BI can handle large
volumes of data, extremely large datasets can impact performance. It’s
essential to optimize your data model and consider partitioning strategies
for better performance. - DirectQuery
and Live Connections: When using DirectQuery or live
connections to data sources, there are limitations on the complexity of
queries and the size of the dataset that can be efficiently queried. - Data
Types and Relationships: Power BI has
limitations on the number of rows and columns in a dataset, as well as the
number of relationships between tables. Understanding these limitations is
crucial when designing your data model. - Data
Sources: While Power BI supports a wide range
of data sources, some data sources may have limitations or restrictions on
connectivity and data retrieval. - Row-level
Security: Power BI has limitations on the
number of row-level security (RLS) rules that can be applied to a dataset.
Users should be mindful of these limitations when implementing RLS in
their reports. - Performance:
Large datasets and complex data models can impact query performance and
report rendering times. Users should optimize their data models and
reports to ensure optimal performance.
It’s
important to review the latest documentation from Microsoft and consider the
specific requirements of your project when working with Power BI datasets.
Regular monitoring and optimization of your datasets can help mitigate
potential limitations and ensure a smooth user experience.