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Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke

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JAX London

This document discusses Spring Data, a framework that provides a consistent programming model for data access while supporting different data store technologies. It summarizes that Spring Data aims to abstract custom traits of different data stores without over-abstracting. It also highlights key Spring Data features like mapping, templates, repositories, and support for both relational and non-relational databases.

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Data Access 2.0? …please welcome… Spring Data! Oliver Gierke
Oliver Gierke Spring Data Core/JPA/MongoDB ogierke@vmware.com www.olivergierke.de olivergierke
What to expect?
How? Why? What?
A Developer‘s View 5
What to expect? NOT!
What to expect? NOT! 7
Retrospect
Relational databases
Scaling
Data structures
Hibari Voldemort Membase Riak Cassandra Redis SimpleDB (No)SQL MongoDB OrientDB CouchDB HBase Sones Neo4J
Graphs
Documents
Column families
Key Value
Forest for the woods?
A Developer‘s View 18
There‘s some Spring 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 Querydsl 32
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

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