Spring Data is a high-level project in the Spring project portfolio for relational and NoSQL data stores. Spring Data MongoDB provides Document-to-Object mapping, an abstraction to work with MongoDB data and means to use MongoDB features efficiently. I'll walk you in the More-Code-Than-Slides session through Spring Data basics, we'll have a detailed look on the MongoDB Aggregation framework and you'll learn which Mongo 3.4 features you can use already today with Spring Data MongoDB.
Mark Paluch (@mp911de (https://twitter.com/mp911de)) is a Software Craftsman working as Spring Data Engineer at Pivotal. He co-maintains MongoDB, Redis and Apache Cassandra modules and he's project lead of the Lettuce Redis driver. Mark speaks regularly at German and international conferences and publishes articles about his work.
This event is co-organized with Mannheim MongoDB User Group (https://www.meetup.com/de-DE/Mannheim-MongoDB-User-Group/).