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Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
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Data Access 2.0? Please welcome, Spring Data!

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  • 1. Data Access 2.0? …please welcome… Spring Data! Oliver Gierke
  • 2. Oliver GierkeSpring DataCore/JPA/MongoDBogierke@vmware.comwww.olivergierke.deolivergierke
  • 3. What to expect?
  • 4. How?Why? What?
  • 5. A Developer‘s View5
  • 6. What to expect? NOT!
  • 7. What to expect? NOT!7
  • 8. Retrospect
  • 9. Relational databases
  • 10. Scaling
  • 11. Data structures
  • 12. Hibari Voldemort Membase Riak Cassandra RedisSimpleDB (No)SQL MongoDB OrientDB CouchDB HBase Sones Neo4J
  • 13. Graphs
  • 14. Documents
  • 15. Column families
  • 16. Key Value
  • 17. Forest for the woods?
  • 18. A Developer‘s View18
  • 19. There‘s someSpring for that!
  • 20. Spring Data
  • 21. " … provide a familiar and consistent Spring-based programming model while not over-abstracting custom traits of the specific store.
  • 22. Spring Data JDBC JPA
  • 23. Spring Data JDBC JPA
  • 24. Spring Data JDBC JPA
  • 25. Spring Data JDBC JPA
  • 26. Spring Data JDBC JPA
  • 27. Building blocks
  • 28. Spring
  • 29. Mapping
  • 30. Templates
  • 31. Repositories
  • 32. Repositories Querydsl32
  • 33. DEMO
  • 34. Wrap up
  • 35. Wrap up• Sophisticated mapping support• Templates• Repositories• Querydsl• Spring namespace• Geospatial support• Cross-store persistence
  • 36. Questions?
  • 37. Resources• www.springframework.org/spring-data• github.com/SpringSource/spring-data-mongodb• http://www.se-radio.net/2010/07/episode-165-nosql-and- mongodb-with-dwight-merriman• http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs- redis

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