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Hello Every one I would like, will power tool help to support large amount data and where we have 4,00,000 line data in month and would like to analysis for 2-4 year data . Will power bi support such large amount of data.
Solved! Go to Solution.
Hi @Manojahuja07 - Yes, Power BI can support large amounts of data, including datasets with millions of rows. But we have to keep in mind few things like performance and way of extraction as follows:
Direct Query Mode: This mode allows you to connect to large datasets without importing all the data into Power BI. Queries are sent to the data source in real-time, which can handle large datasets, but performance depends on the underlying database's performance. It may be slower if you're querying large datasets often.
coming to the performance:
Data aggregations in Power BI supports using aggregated data models to improve query performance.
Incremental Refresh: For large datasets with new data coming in frequently (like your 400,000 rows per month), Power BI allows incremental refresh.
If you plan on handling extremely large datasets (in the billions of rows range), or require advanced features like AI and larger model sizes, Power BI Premium offers more capacity and support for larger models (up to 400 GB) and enhanced performance features.
Solved: Best way to handle large dataset in Power BI - Microsoft Fabric Community
How to Handle Large Volumes of Data in Power BI (bizacuity.com)
Solved: What is the best way to handle 50GB dataset in Pow... - Microsoft Fabric Community
What is Power BI Premium? - Power BI | Microsoft Learn
Hope the above information helps.
Proud to be a Super User! | |
Yes, Power BI is designed to handle large datasets efficiently. It can support millions of rows and columns, making it suitable for analyzing large amounts of data like the 400,000 lines you mentioned for 2-4 years.
Here are some factors to consider when using Power BI for large datasets:
Data Model Optimization: Designing an efficient data model is crucial. This involves creating appropriate relationships between tables, using calculated columns and measures effectively, and considering data types.
DirectQuery vs. Import: For very large datasets, DirectQuery mode might be more suitable, as it queries the underlying data source on-demand. However, this can impact performance for complex queries.
Power BI Premium: If you need to handle extremely large datasets or require advanced features like real-time streaming data, Power BI Premium might be necessary.
Hardware Considerations: The performance of your Power BI reports will also depend on the hardware resources available to your Power BI environment (e.g., memory, processing power).
If it helps please Accept it as solution
Yes, Power BI is designed to handle large datasets efficiently. It can support millions of rows and columns, making it suitable for analyzing large amounts of data like the 400,000 lines you mentioned for 2-4 years.
Here are some factors to consider when using Power BI for large datasets:
Data Model Optimization: Designing an efficient data model is crucial. This involves creating appropriate relationships between tables, using calculated columns and measures effectively, and considering data types.
DirectQuery vs. Import: For very large datasets, DirectQuery mode might be more suitable, as it queries the underlying data source on-demand. However, this can impact performance for complex queries.
Power BI Premium: If you need to handle extremely large datasets or require advanced features like real-time streaming data, Power BI Premium might be necessary.
Hardware Considerations: The performance of your Power BI reports will also depend on the hardware resources available to your Power BI environment (e.g., memory, processing power).
If it helps please Accept it as solution
Hi @Manojahuja07 - Yes, Power BI can support large amounts of data, including datasets with millions of rows. But we have to keep in mind few things like performance and way of extraction as follows:
Direct Query Mode: This mode allows you to connect to large datasets without importing all the data into Power BI. Queries are sent to the data source in real-time, which can handle large datasets, but performance depends on the underlying database's performance. It may be slower if you're querying large datasets often.
coming to the performance:
Data aggregations in Power BI supports using aggregated data models to improve query performance.
Incremental Refresh: For large datasets with new data coming in frequently (like your 400,000 rows per month), Power BI allows incremental refresh.
If you plan on handling extremely large datasets (in the billions of rows range), or require advanced features like AI and larger model sizes, Power BI Premium offers more capacity and support for larger models (up to 400 GB) and enhanced performance features.
Solved: Best way to handle large dataset in Power BI - Microsoft Fabric Community
How to Handle Large Volumes of Data in Power BI (bizacuity.com)
Solved: What is the best way to handle 50GB dataset in Pow... - Microsoft Fabric Community
What is Power BI Premium? - Power BI | Microsoft Learn
Hope the above information helps.
Proud to be a Super User! | |
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