Hello Everyone, I'm completely new to Fabric. I'm currently working on a project focused on forecasting electricity prices for two different locations. The project involves pulling data from a REST API and storing it in OneLake. I recently watched a video that provided insights into pulling specific data from an API. However, my project requires a different approach: I need to pull data from the API every 15 minutes and ingest this time-series data into OneLake in real time. Here's a summary of what I'm looking to accomplish: 1. Data Ingestion Pipeline: I need to create a data pipeline that continuously ingests data from the API every 15 minutes into OneLake. 2. Handling Multiple Datasets: I also need guidance on pulling multiple datasets from the API and storing them in OneLake, especially for different nodes/locations. 3. Machine Learning Integration: After the data is loaded into OneLake, I plan to implement the machine learning part of the project. I'm struggling to find suitable resources or videos that address these specific needs. Could someone provide guidance on how to set up this pipeline, or point me toward resources or procedures that would help me complete this project? Your assistance would be greatly appreciated. Thank you!

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