MongoDB.local San Francisco 2020

Whether you are running MongoDB on-premise, self-managing in the cloud, or using MongoDB Atlas, it's critical that you have dependable backups of your data for when things go sideways. This takes infrastructure, storage, and coordination, which can be complex and costly. In MongoDB 4.2, we are changing how backup is architected, helping you reduce the required storage footprint and remove architectural complexities to increase performance and decrease costs. Come to this session to see how we're accomplishing this.

Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.

Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.