chapter sixteen

16 Optimizing data processing with Atlas Data Federation

 

This chapter covers

  • Explaining MongoDB Unified Query API
  • Understanding the Atlas Federated Database architecture
  • Deploying Federated Database Instance

Atlas Data Federation acts as a distributed query engine that seamlessly integrates various data sources within and beyond MongoDB Atlas, such as external cloud storage. The federation setup allows for the creation of virtual databases and collections, which serve as pathways to access the stored data.

This enables you to perform complex analytical queries across combined datasets from historical and live data sources, ensuring efficient data management and deep analytical insights. This setup is particularly useful when you need to maintain a consistent, comprehensive view of your data for strategic decision-making.

16.1 Querying AWS S3 and Azure Blob Store Data via MongoDB Query API

16.2 Atlas Data Federation architecture

16.3 Deploying Atlas Federated Database instance

16.4 Limitations of Data Federation

16.5 Charges of Data Federation

16.6 Summary