ETL vs. Power BI: Where Should You Perform Your Calculations?

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**📊 In the world of data warehousing, best practices suggest performing calculations during the ETL process to reduce pressure on your semantic layer and visualization tools. But what if Power BI could challenge that thinking? In this video, we dive deep into the nuances of where calculations should be performed and explore how Power BI might be the right choice for certain scenarios.**

**🚀 What You'll Learn:**
1. **ETL vs. Power BI**: Understand the traditional approach of performing calculations during ETL and where Power BI might offer a better alternative.
2. **Self-Service BI**: Discover how Power BI empowers business users with the tools to perform ad hoc analyses, build custom measures, and gain insights on the fly.
3. **Advanced Features**: Explore Power BI’s AI capabilities, natural language queries, and how it seamlessly integrates with R and Python for advanced analytics.
4. **Excel vs. Power BI**: Learn why Power BI offers more flexibility and power compared to Excel, especially when dealing with large datasets and complex calculations.
5. **What-If Analysis**: See a live demo of Power BI’s What-If Analysis feature and how it allows dynamic exploration of scenarios that would be difficult to pre-define in ETL.

**🎥 Guest Appearance:**
- **Chris Chalmers** from Microsoft joins the discussion to share his insights on Power BI’s capabilities and how it can complement traditional ETL processes.

**💼 Who Should Watch?**
- Data Professionals looking to optimize their data workflows.
- Business analysts and decision-makers exploring the best tools for self-service BI.
- Anyone interested in leveraging Power BI to its full potential in a data-driven environment.

**📘 Related Resources:**

**💬 Join the Discussion:**
Have any questions about ETL, Power BI, or data analytics? Drop a comment below! We’d love to hear your thoughts and experiences.

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**Connect with Me:**

#ETL #PowerBI #DataAnalytics #MicrosoftAzure #BusinessIntelligence #AI #DataScience #AzureSynapse

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[MSFT_ScottSewell]

This is really helpful - so much to learn, thank you for sharing!
Keep up the good work.