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In this talk, Patrick Baumgartner will discuss how to easily leverage different NoSQL data stores within one single application using Spring Data.
The NoSQL movement started to attract more and more Java developers and leads now to a new era of "polyglot persistence" for enterprise applications.
Once you begin developing with NoSQL technologies you will quickly realize that accessing data stores or services often requires in-depth knowledge of proprietary APIs that are typically not designed for use in enterprise Java applications. Sooner or later you might find yourself wanting to write an abstraction layer to encapsulate those APIs and simplify your application code. Luckily such an abstraction layer already exits: Spring Data.
In 2010 SpringSource launched an umbrella project called Spring Data that makes it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Spring Data also provides enhanced support for conventional relational database technologies.
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NoSQL in Enterprise Java Applications with Spring Data
Patrick Baumgartner works as a passionate software crafter at 42talents and builds software with Java, the Spring ecosystem, OSGi, Neo4j and ElasticSearch and other open source technologies. He maily runs trainings and coaches software teams to get better on their job.