Hey everyone, a friend of mine Malvik Vaghadia has just released a brand new Udemy course on Microsoft Fabric. I've reviewed the course, and it's really comprehensive, and Malvik is a great instructor with lots of experience teaching on Udemy and on his YouTube channel. Try this link for FREE access (first 100 only, first come first served): 👉🔗 EDIT: *Link Removed Because All Coupons Have Been Redeemed* You can then use this link for a heavy discount (68% discount, I believe): 👉🔗 https://www.udemy.com/course/microsoft-fabric-the-ultimate-guide/?couponCode=LEARNFABRIC 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗟𝗲𝗮𝗿𝗻: ✅ Data Warehousing: Understand the principles of data warehousing, master SQL for querying and managing data, and learn how to design and implement data warehouses within Microsoft Fabric. ✅ Power BI: Create powerful, interactive reports and dashboards. ✅ Data Engineering: Develop robust data engineering pipelines using Spark (PySpark), manage large-scale data transformations, and automate workflows efficiently. ✅ Data Factory: Master the use of Data Factory for orchestrating and automating data movement and transformation. ✅ Real-Time Intelligence: Leverage real-time data processing capabilities to gain instant insights and act swiftly in dynamic business environments.

HI everyone, Is it currently possible to whitelist IP addresses to allow Spark Notebooks to access a REST API? If not, does anyone know if this feature is in development for Fabric pipelines? Thanks! Erki

Welcome to all new members, here's some links and information to help you get started! 𝗤𝘂𝗶𝗰𝗸 𝗟𝗶𝗻𝗸𝘀 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 - For an introduction to this community → Explore the Welcome Pack - New-ish to Fabric? → Check out our Fabric Foundation module - Studying for the DP-600? → Check out the DP-600 Module and the DP-600 category - Studying for the DP-700? → Check out the DP-700 Module and the DP-700 category - Want to get hands-on? → Check out Fabric Dojo 𝗛𝗼𝘄 𝘁𝗼 𝗲𝗻𝗴𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆? - Share your knowledge and experience! Even if you're relatively new to Fabric, or the community, your opinion and experiences are valued here! A great way to earn your first point(s) is to introduce yourself in the thread below 👇😀 Thank you for engaging and joining us on this exciting learning journey! 🙏 Will