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Violet Mcdow

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Aug 3, 2024, 4:59:10 PM8/3/24

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The repository abstraction layer is one of the core pieces of the Spring Data projects. It provides a consistent, interface-based programming model to allow implementing data access layers easily. The talk will start with a brief introduction and dive into best practices and implementation patterns later one.

Oliver Gierke is engineer at SpringSource, a division of VMware, project lead of the Spring Data JPA module and involved into other Spring Data modules (e.g. MongoDB) as well. He has been into developing enterprise applications and open source projects for over 6 years now. His working focus is centered around software architecture, Spring and persistence technologies. He is regularly speaking at German and international conferences as well as author of technology articles.

Introduction to Cascading, an application framework for Java developers to deploy robust, enterprise-grade applications on Apache Hadoop. We'll start with the simplest Cascading program possible (file copy in a distributed file system) and progress in small steps to show a Java-based social recommender system based on Twitter feeds.

Data Scientist @ Developer Evangelist for open source project. Expert in Hadoop, R, cloud computing, machine learning, predictive analytics, NLP. BS MathSci and CS CompSci from Stanford, 25+ yrs in tech industry. For the past several years, I've been leading Data Science teams, working with large scale MapReduce applications.

Alternative data persistence approaches are all the rage these days. Transitioning our skill sets and legacy applications to these new and promising technologies though can be problematic. Spring Data is an exciting solution to persistence proliferation. It brings the flexibility and familiarity of the Spring Framework and adds the concepts of Repositories which allow developers to write their programs to using familiar methods such as save, update, delete, and dynamic finders.

In this presentation we will introduce Spring Data for GemFire and how it leverages your existing Spring Framework skills to create generic Spring style interfaces which will make it more efficient to transition to distributed data grids such as GemFire.

Mark is active in the software community as the President of the New England Java Users Group (NEJUG) and a regular presenter to user groups and various conferenes. When not working, Mark can be found riding his mountain bike on local trails and playing with his family

David Turanski is a Senior Software Engineer with SpringSource, a division of VMWare. David is a member of the Spring Data team and lead of the Spring Data GemFire project. He is also a committer on the Spring Integration project. David has extensive experience as a developer, architect and consultant serving a variety of industries. In addition he has trained hundreds of developers how to use the Spring Framework effectively.

When applications grow bigger, modularity becomes a key aspect regarding maintainability. Design decisions made in the early days are hardly discoverable in the codebase, inter-module dependencies grow a lot. The talk introduces means and approaches to connect logical architecture to the codebase. Beyond that we discuss patterns and best practices around general code organization, package structures to build a solid foundation for Java applications and in how far Spring can help creating loosely coupled components and dedicated points to extend applications.

In this presentation we will discuss the options for managing and monitoring applications that use Spring Integration. It will provide a comprehensive overview of the extensive support for JMX provided by Spring Integration, both in terms of providing access to Spring Integration internals, as well as creating a JMX client to interact with local and remote MBeanServers.

He has been developing with the Spring Framework since 2004 and joined SpringSource/VMware in 2009 in a consulting role. From 2009 until the end of 2011 he taught Core Spring and Enterprise Integration with Spring to several hundred developers, as well as providing Enterprise Integration consulting services with Spring Integration, Spring Batch and Core Spring.

Hadoop is not an island. To deliver a complete Big Data solution, a data pipeline needs to be developed that incorporates and orchestrates many diverse technologies. A Hadoop focused data pipeline not only needs to coordinate the running of multiple Hadoop jobs (MapReduce, Hive, Pig or Cascading), but also encompass real-time data acquisition and the analysis of reduced data sets extracted into relational/NoSQL databases or dedicated analytical engines.

This session looks at the architecture of Big Data pipelines, the challenges ahead and how to build manageable and robust solutions using Open Source software such as Apache Hadoop, Hive, Pig, Spring Hadoop, Batch and Integration.

Costin Leau is an engineer within the SpringSource. His interests include data access and aspect oriented programming. With significant development experience, Costin has worked on various Spring Framework features (cache abstraction, JPA, java config), led the Spring Dynamic Modules (Spring OSGi probject), Spring GemFire and the Spring-inspired, OSGi 4.2 Blueprint Service RI. Currently Costin is working in the NOSQL and Big Data area, leading the Spring integration with Hadoop and Redis.

Customer interest in virtualizing Java workloads has been growing exponentially year on year. For the last few years, the focus has been largely around looking for best practice guidance to mitigate concerns around virtualizing Java workloads, particularly in the area of performance. Since joining VMware, SpringSource has been investing in providing first class support for the Java runtime on vSphere with products such as EM4J. Combined with the industry-leading capabilities of the vSphere platform and the growing product portfolio around the Java ecosystem, there are many great reasons to virtualize Java.

Ben Corrie has been working on Java since 1998, where he began at IBM testing JDK 1.1.4. He progressed to working on the internals of IBM's Java Virtual Machine where he lead a project to develop industry-leading memory management technology for the JVM. He joined SpringSource as a consultant in 2008 and moved to California a year later to lead an effort to improve Java performance on vSphere. As the tech lead on the recently announced EM4J project, he is successfully helping to make vSphere the best place to run Java.

Come to this session to get an in-depth view of the latest and greatest in Cloud Foundry. It's easier than ever before to build and deploy your distributed polyglot applications. You will see some exciting new options, including new Java and Node runtimes and support for background workers and container-less web apps. These features allow you to create distributed apps comprised of many smaller, focused apps each written in the framework that fits its purpose best. We will also explore the latest in tooling, including new features in the STS plugin and the brand new "next gen" VMC client. We will peek under the hood to see what's new in the Cloud Foundry architecture. From Cloud Foundry beginner to expert, this session has something for everyone.

Jennifer Hickey is a Sr. Software Engineer with SpringSource/VMware, with over a decade of experience in software engineering. Jennifer is a member of the Cloud Foundry team, specializing in developer experience and support of frameworks such as Spring, Grails, Rails, and Sinatra. She is passionate about increasing developer productivity in the cloud. Jennifer has led or contributed to a number of SpringSource projects, including Hyperic and tc Server. She has been involved in converting multiple large EJB/legacy codebases to Spring. Prior to joining SpringSource, Jennifer was a principal architect of a large-scale network management system.

Ramnivas Laddad is a SpringSource Principal Engineer. He has over a decade of experience in applying his enterprise Java and aspect-oriented programming (AOP) expertise to middleware, design automation, networking, web application, user interface, and security projects.

Ramnivas Laddad is a well-known expert in enterprise Java, especially in the area of AOP and Spring. He is the author of AspectJ in Action, the best-selling book on AOP and AspectJ that has been lauded by industry experts for its presentation of practical and innovative AOP applications to solve real-world problems. Ramnivas, a Spring framework committer, is also an active presenter at leading industry events such as JavaOne, JavaPolis, No Fluff Just Stuff, SpringOne, Software Development, and has been an active member of both the AspectJ and Spring communities from their beginnings.

The modern web is rich with APIs that can be consumed by other applications, enabling an integrated experience for the users who hold accounts on the websites that front those APIs. Many of these APIs are secured with OAuth, an authorization specification for securing REST APIs. Spring Social is an extension to the Spring Framework that enables Spring applications to establish connections with those APIs on behalf of their users with little or no need to muck about in the intricacies of OAuth.