video1.0<iframe src="https://www.loom.com/embed/828fe7947d564d12b500a07101b6c7c3" frameborder="0" width="1672" height="1254" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12541672Loomhttps://www.loom.com12541672https://cdn.loom.com/sessions/thumbnails/828fe7947d564d12b500a07101b6c7c3-ec18f730af949ec0.gif193.6557In this video, I share how Seth and I are using MongoDB Atlas for our data-heavy app, which involves running complex queries and keeping event data up-to-date. We built a proof of concept app that allows real-time updates on a shipment list, showcasing features like filtering, searching, sorting, and pagination. I demonstrate how the app handles inserts, updates, and deletions while using a React front end that communicates via web sockets. We utilize change streams to manage updates efficiently, including support for full-text search. I encourage you to check out the app and see how it works in action.