{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Programming Tech Brief By HackerNoon","title":"Lessons I Learned From Managing Hundreds of Millions of Data in MongoDB","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/cc4da74c\"></iframe>","width":"100%","height":180,"duration":183,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/lessons-i-learned-from-managing-hundreds-of-millions-of-data-in-mongodb.\nIn this post, I will share r.eal experience that I gained while working with hundred's of millions of pieces of data in MongoDB\nCheck more stories related to programming at: https://hackernoon.com/c/programming.\n            You can also check exclusive content about #mongodb, #scaling, #database, #best-mongodb-practices, #mongodb-lessons, #bulk-operations, #aggregation-pipeline, #mastering-mongodb,  and more.\nThis story was written by: @thedevtimeline. Learn more about this writer by checking @thedevtimeline's about page,\n            and for more stories, please visit hackernoon.com.\nIn this post, I will share real experience that I gained while working with hundreds of millions of pieces of data in MongoDB. Don't store all data in a single Mongo collection. Use Bulk Operations to execute multiple write operations (inserts, updates, deletes) efficiently.","thumbnail_url":"https://img.transistorcdn.com/KhCapPSRkLGL2Xw8888yuChkNRWthaKapLYTvNdu4W4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}