Dr. Mark Pollack has been a core Spring (Java) developer since 2003 and founded its Microsoft counterpart, Spring.NET, in 2004. Mark now leads the Spring Data project that aims to simplify application development with new data technologies around big data and NoSQL databases. Prior to working on Spring project, Mark worked in offline computing in high-energy nuclear physics at Brookhaven National Laboratory and then moved to the financial services industry as a technical lead for front-office trading systems.
Adrian Colyer, Juergen Hoeller, Mark Pollack and Graeme Rocher present SpringSource’s Unifying Component Model, current developments regarding Big Data, and betting on Grails.
The Spring Data project is an umbrella project that provides a familiar and consistent Spring-based programming model for a wide range of data access technologies. Motivated by the rise of new NoSQL databases and Big Data solutions, there is support for Redis, MongoDB, HBase, Neo4j, Gemfire, Hadoop and Splunk. There is also a “refresh” of Spring’s traditional support for JDBC and JPA. In this session, we will provide a guided tour of the Spring Data feature set, showing how you can quickly increase your productivity when creating applications that use these new data access technologies. Use cases unique to each technology will be discussed and demonstrated as well as where Spring Data provides some level of portability between different databases.
Join the hosts Mark Fisher and Mark Pollack for a series of 10 lightning talks by leading contributors to the Spring Integration, Batch, and Data projects. Learn all the inside tips and tricks about using these projects in exciting edge cases and get a preview of current experimental work being conducted by the R&D team.
The use-cases will cover the domains of traditional enterprise integration, SaaS integration, and Big Data workflows.