Unlocking the Full Potential of Your Data with MongoDB Atlas Data Federation
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What is Atlas Data Federation? It is an incredible distributed query engine that enables seamless querying, transforming, and data migration across various sources inside and outside of Atlas!
With Atlas Data Federation, we can achieve a wide range of use cases, such as gaining a comprehensive view of our data through querying across multiple Atlas clusters and importing data from AWS S3 buckets into Atlas clusters. By combining various clusters and buckets, we can gain deeper insights into the data we have at hand.
In this tutorial, we show you how to utilize Atlas Data Federation to merge JSON data stored in your MongoDB Atlas cluster with data in your AWS S3 bucket. Let’s get started!
00:00:00 - Intro
00:00:36 - MongoDB Atlas Setup
00:01:51 - AWS S3 Data Setup
00:02:29 - JSON File Upload in AWS
00:03:19 - Data Federation Setup
00:03:31 - Atlas Data Source Upload
00:04:07 - AWS S3 Data Source Upload
00:05:04 - AWS CLI
00:06:12 - AWS IAM Role
00:08:45 - Querying Our Federated Database
00:10:01 - Aggregation Pipeline
Pre-reqs:
MongoDB Atlas: https://trymongodb.com/3Lce0Vo
MongoDB Compass: https://trymongodb.com/3omSiVJ
AWS: https://trymongodb.com/3LcWvEp
More resources:
Article written about this demo: https://trymongodb.com/43GwLY7
YouTube video about all things MongoDB Atlas: https://trymongodb.com/3BIPLcd
Aggregation pipeline documentation: https://trymongodb.com/3mBHtyA
Data federation documentation: https://trymongodb.com/3ULNYv3
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