Many developers’ experience with Spring began with JDBC-based data access, and while the template design pattern remains prevalent, Spring’s suite of data libraries has continued to evolve (over the past decade!) with the increased popularity of NoSQL data stores. Spring has also evolved to support higher-level patterns, such as ETL (Extract-Transform-Load) and EIP (Enterprise Integration Patterns), with Spring Batch and Spring Integration, respectively. Taken together Spring Data, Batch and Integration provide a comprehensive foundation for working with data and building message-driven applications. In this session, we’ll walk through the libraries and frameworks with an emphasis on introductory demos.