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Challenge
The customer faced Power BI performance constraints despite upgrading to a higher Premium capacity SKU. Key issues included slow dataset refreshes, delayed visual rendering, and high CPU consumption, which led to data bottlenecks and inefficiencies in report generation:
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Insufficient Premium Capacity: Even after increasing the Premium capacity SKU, performance remained constrained.
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Slow Dataset Refreshes: PowerBI Datasets experienced poor refresh performance, leading to data loading bottlenecks.
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Slow Visual Response: Visual elements in reports were slow to render after filter changes, even when using Import Mode.
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Solution
- Quick Win Isolation: Identified high CPU-consuming and long-running reports, isolating them for immediate performance improvements.
- Data Model Evaluation & Optimization: Reviewed existing data models against established Guidelines and Best Practices. Where necessary, models were rebuilt or recommendations provided to ensure robust design.
- Pushdown Optimization: Implemented pushdown strategies for high-consumption PowerQuery payloads to accelerate data processing.
- Best Practices Training: Delivered targeted training on PowerBI Best Practices and Golden Rules to empower teams and ensure sustained performance improvements.
- Monitoring: Built comprehensive monitoring and alert dashboards to track performance in real time, ensuring proactive detection and resolution of issues.
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Outcome
The solution significantly improved dataset refresh speeds, reduced report loading times, and enhanced overall responsiveness. With proactive monitoring and team training, the organization can now sustain optimal Power BI performance, ensuring data-driven decision-making without bottlenecks.
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Technology
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Power BI
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Query Optimization
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How does it work?
- cloud databases
- on-premise database
- Excel files with "pretty" formatting
- csv files
- processing Excel files with formatting
- conversion to *.csv
- Data filtering
- Staging schema data load
- Data aggregation at the month level
- Populating Intermediate Fact Tables
- Loading MD datamarts
- Data transfer to MDS
- MD Enrichment byuser
- Enter MD required for calculations: courses, units. conversion reates.
- Launch dataflow continuation
- Calculation and loading of data marts from fact tables and MDS user data
- Recording the download log and the errors that occurred with the reasons
- PowerBI dataset refresh