[On-Demand] MongoDB Atlas Data Lake and Your Infrastructure

Leverage MongoDB’s flexible data model and expressive query language to analyze and query your data wherever it lives today. With Atlas Data Lake, we have expanded the footprint of our Aggregation Pipeline, which already powers flexible data pipelines on operational data, to query your archives in cloud object storage. You can now use the language best suited to work with rich data - MQL - to federate queries across storage layers without moving or transforming your data. Learn how Atlas Data Lake can help you eliminate the cost and complexity of data movement, reduce the effort of managing schema, and decrease the time to insight.

*Subtitles available in Spanish, Portuguese, and French.  This session is also featured in the On-Demand en Español track