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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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