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SpringOne Replay: Spring Data Hazelcast: Fluently Accessing Distributed Repositories [Video]

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SpringOne Replay: Spring Data Hazelcast: Fluently Accessing Distributed Repositories [Video]

Handling distributed respositories can be tricky, but with the Spring Data project and Hazelcast, you can incorporate the benefits of distributed data into your project.

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The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use data access technologies.

In this talk, Neil and Viktor will present using a new Spring Data for Hazelcast project and demonstrate how using the Spring Data paradigm gains the power of a distributed data repository.

The implementation is built on the new Spring Data KeyValue module and is one of the first projects to do this. This module provides infrastructure components for creating repository abstractions for stores dealing with Key/Value pairs like java.util.Map or Hazelcast IMap.

Through the means of the repository interface, CRUD operations and expression-based query methods can interrogate an in-memory data store in a manner consistent with the other Spring Data projects so developers can become productive quickly and easily.

Recorded at SpringOne Platform 2016.

Speaker: Victor Gamov, Neil Stevenson, Hazelcast

Slides: http://www.slideshare.net/SpringCentral/spring-data-hazelcast-fluently-accessing-distributed-repositories

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hazelcast ,spring data ,database ,distributed data repositories

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