Spring Data

Spring Data

August 21, 2012

This event will jointly held with Atlanta Spring Users Group.

This session starts with a high-level look at all that the Spring Data project has to offer. Then we’ll dive deeper into a few select Spring Data modules, including Spring Data Neo4j, Spring Data MongoDB, Spring Data Redis, Spring Data JPA, and Spring Data JDBC Extensions

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.

About the Speaker

Craig Walls

Craig Walls has been professionally developing software for almost 18 years (and longer than that for the pure geekiness of it). He is a senior engineer with SpringSource as the Spring Social project lead and is the author of Spring in Action and XDoclet in Action (both published by Manning) and Modular Java (published by Pragmatic Bookshelf). He’s a zealous promoter of the Spring Framework, speaking frequently at local user groups and conferences and writing about Spring and OSGi on his blog. When he’s not slinging code, Craig spends as much time as he can with his wife, two daughters, 4 birds and 3 dogs.

Posted in Meetings
AJUG Meetup

Data Microservices with Spring Cloud Stream, Task, and Data Flow

Tuesday, July 19, 2016

Microservice based architectures are not just for distributed web applications! They are also a powerful approach for creating distributed stream and batch processing.

Spring Cloud Data Flow enables you to create and orchestrate standalone executable applications that communicate over messaging middleware such as Kafka and RabbitMQ that when run together, form a distributed stream processing application. It also allows users to create and orchestrate short lived microservices like batch jobs or boot applications that perform a task and then terminate when complete.

This allows you to scale, version and operationalize stream processing and task applications following microservice based patterns and practices on a variety of runtime platforms such as Cloud Foundry, Apache YARN and others.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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