{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/828fe7947d564d12b500a07101b6c7c3\" frameborder=\"0\" width=\"1672\" height=\"1254\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1254,"width":1672,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1254,"thumbnail_width":1672,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/828fe7947d564d12b500a07101b6c7c3-ec18f730af949ec0.gif","duration":193.6557,"title":"Real-Time Data Updates with MongoDB and React","description":"In 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."}