Spring Data Workshop

In recent years, there has been a renewed interest in how data is stored. Although RDBMS has long been treated as a one-size-fits-all solution for data storage, a new breed of datastores has arrived to offer a best-fit solution. Key-value stores, column stores, document stores, graph databases, as well as the traditional relational database are options to consider.

With these new data storage options come new and different ways of interacting with data. Even though all of these data storage options offer Java APIs, they are widely different from each other and the learning curve can be quite steep. Even if you understand the concepts and benefits of each database type, there's still the huge barrier of understanding how to work with each database's individual API.

Spring Data is a project that makes it easier to build Spring-powered applications that use new data, offering a reasonably consistent programming model regardless of which type of database you choose. In addition to supporting the new "NoSQL" databases such as document and graph databases, Spring Data also greatly simplifies working with RDBMS-oriented datastores using JPA.

In this 2-part workshop, we'll dig in with a hands-on exploration of a variety of data stores, including Redis, MongoDB, Neo4j, and traditional RDBMS. In doing so, you'll experience first-hand how Spring Data simplifies working with these data stores.