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

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

  • Data Access 2.0? …please welcome… Spring Data! Oliver Gierke
  • Oliver GierkeSpring DataCore/JPA/MongoDBogierke@vmware.comwww.olivergierke.deolivergierke
  • What to expect?
  • How?Why? What?
  • A Developer‘s View5
  • What to expect? NOT!
  • What to expect? NOT!7
  • Retrospect
  • Relational databases
  • Scaling
  • Data structures
  • Hibari Voldemort Membase Riak Cassandra RedisSimpleDB (No)SQL MongoDB OrientDB CouchDB HBase Sones Neo4J
  • Graphs
  • Documents
  • Column families
  • Key Value
  • Forest for the woods?
  • A Developer‘s View18
  • There‘s someSpring for that!
  • Spring Data
  • " … provide a familiar and consistent Spring-based programming model while not over-abstracting custom traits of the specific store.
  • Spring Data JDBC JPA
  • Spring Data JDBC JPA
  • Spring Data JDBC JPA
  • Spring Data JDBC JPA
  • Spring Data JDBC JPA
  • Building blocks
  • Spring
  • Mapping
  • Templates
  • Repositories
  • Repositories Querydsl32
  • DEMO
  • Wrap up
  • Wrap up• Sophisticated mapping support• Templates• Repositories• Querydsl• Spring namespace• Geospatial support• Cross-store persistence
  • Questions?
  • 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