Скачать или смотреть What is a Native Query in Power BI? | Power BI Training | Native Query Tutorial

🔥 Hey Power BI enthusiasts! Today, we’re diving into Native Queries in Power BI! 🚀💻 If you've ever wondered how to speed up data retrieval and make your Power BI reports more efficient, this video is for you! 🎯💡

1️⃣ Understanding Native Queries 類 - Native queries are direct SQL queries executed within Power BI!
2️⃣ Definition 📖 - A native query allows Power BI to directly fetch data from databases without extra transformation steps.
3️⃣ Purpose 🎯 - Want to retrieve data efficiently? Native queries help minimize unnecessary data processing!
4️⃣ Query Folding 🔄 - Unlike Power Query, native queries bypass query folding, meaning transformations happen inside Power BI.
5️⃣ Performance ⚡ - Speed matters! Using native queries can enhance performance by reducing extra data retrieval.
6️⃣ Security 🚨 - Be careful! Native queries can modify databases, so execute them responsibly.
7️⃣ Usage 💡 - Often used for complex queries that are tough to build inside Power Query.
8️⃣ Supported Databases 🏛 - Works with SQL Server, PostgreSQL, Oracle, and more!
9️⃣ Implementation 🔍 - Found under ‘Advanced Options’ when connecting to a database.
🔟 Limitations ⛔ - Since they don’t support query folding, some transformations may become inefficient.

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11️⃣ Best Practices ✅ - Always optimize native queries to retrieve only necessary data!
12️⃣ Security Prompt 🔐 - Power BI warns users before executing a native query—always double-check!
13️⃣ Example Query ✍ - A simple SQL query fetching customer data directly into Power BI.
14️⃣ Comparison 🔄 - How do native queries stack up against Power Query transformations?
15️⃣ Error Handling 🛠 - Debugging native queries can be challenging, but using proper techniques makes it easier.
16️⃣ Optimization 🚀 - Indexing and query tuning can boost performance!
17️⃣ Conclusion 🎯 - Native queries provide flexibility but require careful handling.

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#PowerBI #SQL #DataAnalytics #BITraining #NativeQuery #PowerBIOptimization #SQLServer #DataScience