16 Optimizing data processing with Atlas Data Federation

 

This chapter covers

  • Explaining the MongoDB unified Query API
  • Understanding the Atlas Federated Database architecture
  • Deploying a federated database instance

Atlas Data Federation serves as a distributed query engine that seamlessly integrates various data sources within and beyond Atlas, such as external cloud storage. The federation setup allows the creation of virtual databases and collections, which serve as pathways to access the stored data. It enables you to perform complex analytical queries across combined data sets 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 Amazon S3 and Azure Blob Store data via the Query API

16.2 Learning Atlas Data Federation architecture

16.3 Deploying an Atlas Federated Database instance

16.4 Limitations of Atlas Data Federation

16.5 Charges for Atlas Data Federation

Summary