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.

Java Batch JSR-352 is an initiative chaired by Chris Vignola from IBM and includes members from RedHat, Oracle, VMware, Industry leaders, and independent consultants involved in the Enterprise Java Batch.

This presentation will cover: The influence of Spring Batch on the Java Batch spec (the Batch DSL). The evolution of requirements on Java Batch in terms of concurrency, data and application modernization, and data grids. Key design decisions for coming to a common language (JCL) of batch in terms of Jobs, Steps, Partitioning, Concurrency, Parallelization, etc. State of Java Batch; Roadmap, specification, and public access to discussions and hot topics.Influences of Java Batch on Spring Batch and the implications for the future.