Big data models with Power BI - Composite Models and Aggregations
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Gaston Cruz, a data analytics architect, outlines best practices for Power BI with emphasis on optimizing data models and performance via composite models. He details strategies such as creating summarized tables, utilizing dual connections, and employing tools like DAX Studio and the VertiPaq Analyzer. The document highlights the infrastructure and processes necessary for efficient reporting and data management in a data warehouse environment.
Big data models with Power BI - Composite Models and Aggregations
- 1. Gaston Cruz - MVP Data Platform Data Analytics Architect Slalom, Seattle. /gastoncruz @gastonfcruz gastoncruz gastoncruz@outlook.com www.gastoncruz.com Power BI with Big Data Composite Models and Aggregations Seattle Modern Excel + Power BI User Group (MEUG)
- 2. Performance Factors • Created summarized tables w/ filter for large DQ tables (Full aggregate functionality available soon) • Unloaded and removed irrelevant tables and columns • Document relationship info & measures & calculated columns • Changed semi-relevant tables from import to DQ • Turned off auto date/time (Current file/Global) • Removed bookmarks and moved calculated measures to the model • Removed custom visuals
- 3. Composite Model Power BI Architecture (Ad-Hoc Model) • Transactional Views in DW • Best Practice to build pre calculated columns Power BI Desktop Power BI Desktop Dual On-Prem Gateway DirectQuery Import Power BI Desktop Power BI Desktop Gateway Data Sources Dashboard Report Reports Publish Periodic Data Refresh Periodic Data Refresh In the first level and to improve performance a View is created in DW with pre calculated columns When reports and dashboards are viewed, Power BI queries its copy of the data stored within the dataset (an in-memory columnstore database) instead of going back to the original data source. This happens with Composite model using Direct Query to DW transactional table and Aggregated Table in Power BI with Import type of connection. Dimensional Tables are going to set via Dual connectivity (DQ with Transactional and Import with Aggregated Table) Publish to PBI Premium Capacity for computing purposes 1 1 2 3 2 Power BI Desktop Composite Model Power BI Service with Premium Capacity Source Data Source Data Source Data Systems Data Warehouse Publish PBIX Premium App Workspace 3Dual DirectQuery Import Connection via Direct Query to Transactional Tables/Views in Snowflake and then implement Aggregated Tables with Import connection to improve performance.
- 4. Power BI Architecture (Ad-Hoc Model)
- 5. Power BI Architecture (Ad-Hoc Model)
- 6. Power BI Architecture (Ad-Hoc Model) – Best Practices
- 7. Tools DAX Studio by SQLBI https://www.sqlbi.com/tools/dax-studio/ VertiPaq Analyzer by SQLBI https://www.sqlbi.com/tools/vertipaq-analyzer/ • • • • • • Power BI Helper by RADACAD https://radacad.com/power-bi-helper
- 8. Business logic & metrics Data modeling Security Azure Analysis Services Server Lifecycle management In-memory cache Enterprise Data Analytics
- 9. Thanks! And see you on the next meetup!!! @gastonfcruz "Improve the Process"