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- Dataflows and datamarts are both used for storing and managing data, but they have different strengths and use cases. Dataflows are more flexible and allow for more agility in modifying data sources and building new queries. They can also be easily incorporated into new Power BI reports. However, if you require a centralized repository for storing and managing data, and you have a defined set of data sources and requirements, a datamart may be a better choice12.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Dataflows are more flexible and allow for more agility in modifying data sources and building new queries. They can also be easily incorporated into new Power BI reports. However, if you require a centralized repository for storing and managing data, and you have a defined set of data sources and requirements, a datamart may be a better choice.community.fabric.microsoft.com/t5/Service/Dataflo…Comparing dataflows to datamarts This section describes the differences between dataflows and datamarts. Dataflows provide reusable extract, transform and load (ETL). Tables can't be browsed, queried, or explored without a semantic model, but can be defined for reuse. The data is exposed in Power BI or CDM format if you bring your own data lake.learn.microsoft.com/en-us/power-bi/transform-mod…
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