Data volumes are exploding these days and data is dispersed across more storage layers than ever before–but successful companies depend on the ability to query and process that data efficiently.

MongoDB Atlas Data Lake offers a simple and familiar interface to query data stored across multiple storage layers, without movement or complex transformation, using the MongoDB Query Language (MQL).

During this presentation, we will examine a complex infrastructure used to support a modern day application and show you how to use Atlas Data Lake to combine a variety of datasets and persist the results of complex aggregations back to your live Atlas clusters and object stores.

During this presentation, you will learn how to:

• Connect an Atlas cluster and AWS S3 store to an Atlas Data Lake.
• Query across multiple data sources using a single query.
• Transform and persist data back to your storage layer with the powerful $out aggregation stages unique to Atlas Data Lake.