DISID to lead Spring Roo Project

We are happy to announce that Pivotal and DISID will collaborate on further development of the Spring Roo project. Roo will continue in its goal of providing a code-gen style of RAD framework, focused helping developers get Java projects done on time.

Pivotal and DISID were already in collaboration around Roo for some time, so we’re excited to be formalizing what originally was an informal, developer led partnership – a partnership that DISID is committed to. The Spring Roo project will remain as an open source project under Spring, maintaining the same current licensing policy. Both Pivotal and DISID are calling on the Spring and Java communities for anyone who would like to collaborate in the project with us!

Learn more at http://www.disid.com/web/guest/spring-roo

Follow DISID on Twitter @disid_corp for more updates!

Speaker: Gary Russell

The Spring Integration team has been hard at work on the latest release of the popular integration framework. Before version 4.0, it was impractical to define a complete Spring Integration flow without using XML. With this major release, the existing basic annotation support has received an overhaul and those who prefer to use java @Configuration classes can now define their applications without needing to use any XML (of course, XML is still supported as well). In this session we will cover these major changes to the framework, explaining how and when to use them. It will be mainly demonstration and code walk through, and we will build a useful Spring Boot / Integration application from scratch.

Tuesday, May 13, 2014 3:00 pm BST Time (London, UTC+1) Register

Tuesday, May 13, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register

Speakers: Michael Hunger (Neo Technology) and Josh Long (Pivotal)

Spring Data Neo4j 3.0 is here and it supports Neo4j 2.0. Neo4j is a tiny graph database with a big punch. Graph databases are imminently suited to asking interesting questions, and doing analysis. Want to load the Facebook friend graph? Build a recommendation engine? Neo4j's just the ticket. Join Spring Data Neo4j lead Michael Hunger (@mesirii) and Spring Developer Advocate Josh Long (@starbuxman) for a look at how to build smart, graph-driven applications with Spring Data Neo4j and Spring Boot.

Tuesday, May 20, 2014 3:00 pm BST Time (London, UTC+1) Register

Tuesday, May 20, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register

Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Costin Leau, Elasticsearch

Finding relevant information fast has always been a challenge, even more so in today's growing "oceans" of data. This talk explores the area of real-time full text search, using Elasticsearch, an open-source, distributed search engine built on top of Apache Lucene. The session will showcase how to perform real-time searches on structured and non-structured data alike, how to cope with types and suggestions, do social graph filters and aggregations for efficient analytics. All from a Spring perspective Last but not least, the presentation focuses on the Hadoop platform and how Map/Reduce, Hive, Pig or Cascading jobs can leverage a search engine to significantly speed up execution and enhance their capabilities. The presentation covers architectural topics such as index scalability, data locality and partitioning, using off and on-premise storages (HDFS, S3, local file-systems) and multi-tenancy.

Learn more about Spring Data and Elasticsearch at: http://projects.spring.io/spring-data

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Mike Wiesner

Creating a secure application involves more then just applying Spring Security to it. This is of course not a new topic, but with the increased popularity of much more dynamic configurations for Servlet Containers and various Spring Projects, like Spring MVC and Spring Integration, it becomes more important to know about the Security tradeoffs we might get with that, and how to tackle them.

Learn more about Spring Security at http://projects.spring.io/spring-security

Learn more about Spring MVC at http://projects.spring.io/spring-framework

Learn more about Spring Integration at http://projects.spring.io/spring-integration

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Recorded at SpringOne2GX 2013, in Santa Clara, CA

Speakers: Josh Long

Alright, so maybe "bootiful" won't ever work, but I tried, and it was worth it too because you're reading this. Spring Boot, the new convention-over-configuration centric framework from the Spring team at Pivotal, marries Spring's flexibility with conventional, common sense defaults to make application development not just fly, but pleasant! Join Spring developer advocate Josh Long for a look at what Spring Boot is, why it's turning heads, why you should consider it for your next application (REST, micro services, web, batch, big data, integration, whatever!) and how to get started.

Learn more about Spring Boot at: http://projects.spring.io/spring-boot

Learn more about Spring at: http://projects.spring.io/spring-framework

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speakers: Thomas Risberg, Janne Valkealahti

Big data and Hadoop is widely considered to be the next generation data platform. Hadoop is notoriously difficult to work with and just diving in and starting coding can easily lead to frustration. A better way is to leverage your existing Java and Spring skills to take advantage of these new technologies. In this presentation we will introduce Spring Data for Apache Hadoop and see how it can make working with Hadoop easier. We will also cover several ways to install a small Hadoop cluster that can be used to test your new Hadoop applications.

Learn More about Spring for Apache Hadoop at: http://projects.spring.io/spring-hadoop

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Recorded at SpringOne2GX 2013 in Santa Clara, CA

Speaker: Jags Ramnarayan, Anthony Baker

Hadoop gives us dramatic volume scalability at a cheap price. But core Hadoop is designed for sequential access - write once and read many times; making it impossible to use hadoop from a real-time/online application. Add a distributed in-memory tier in front and you could get the best of two worlds - very high speed, concurrency and the ability to scale to very large volume. We present the seamless integration of in-memory data grids with hadoop to achieve interesting new design patterns - ingesting raw or processed data into hadoop, random read-writes on operational data in memory or massive historical data in Hadoop with O(1) lookup times, zero ETL Map-reduce processing, enabling deep-scale SQL processing on data in Hadoop or the ability to easily output analytic models from hadoop into memory. We introduce and present the ideas and code samples through Pivotal in-memory real-time and the Hadoop platform.

Learn more about Gemfire and Spring at: http://projects.spring.io/spring-data-gemfire

Learn more about Spring and Hadoop at: http://projects.spring.io/spring-hadoop

Learn more about Spring XD http://projects.spring.io/spring-xd

Learn more about Pivotal HD http://www.gopivotal.com/products/pivotal-hd

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Speaker: Josh Long

Alright, so maybe "bootiful" won't ever work, but I tried, and it was worth it too because you're reading this. Spring Boot, the new convention-over-configuration centric framework from the Spring team at Pivotal, marries Spring's flexibility with conventional, common sense defaults to make application development not just fly, but pleasant! Join Spring developer advocate Josh Long for a look at what Spring Boot is, why it's turning heads, why you should consider it for your next application (REST, web, batch, big-data, integration, whatever!) and how to get started.

Tuesday, April 15, 2014 3:00 pm (London, UTC+01:00) Register

Tuesday, April 15, 2014 10:00 am Pacific Daylight Time (San Francisco, UTC-07:00) Register