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SpringOne2GX 2015 replay: Implementing a Highly Scalable Stock Prediction System with R, Apache Geode and Spring XD

Recorded at SpringOne2GX 2015.
Presenters: Fred Melo & William Markito Oliveira
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/implementing-a-highly-scalable-stock-prediction-system-with-r-apache-geode-and-spring-xd

Finance market prediction has always been one of the hottest topics in Data Science and Machine Learning. However, the prediction algorithm is just a small piece of the puzzle. Building a data stream pipeline that is constantly combining the latest price info with high volume historical data is extremely challenging using traditional platforms, requiring a lot of code and thinking about how to scale or move into the cloud. This session is going to walk-through the architecture and implementation details of an application built on top of open-source tools that demonstrate how to easily build a stock prediction solution with no source code - except a few lines of R and the web interface that will consume data through a RESTful endpoint, real-time. The solution leverages in-memory data grid technology for high-speed ingestion, combining streaming of real-time data and distributed processing for stock indicator algorithms.

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SpringOne2GX 2015 replay: Spring Boot is made for tooling

Recorded at SpringOne2GX 2015.
Presenters:Yann Cébron - JetBrains, Stéphane Nicoll, Pivotal
Core Spring Track
Slides: no slides all demo

For many years, IntelliJ IDEA has been widely used in projects employing the Spring Framework. The latest version of the IDE (14.1) now ships with dedicated Spring Boot support. In this practical presentation we’re going to look at some features from IntelliJ IDEA that will help you not only get started with Spring Boot but also guide you along the way, helping with coding and configuration management for your application. As a bonus, we’ll also discover some nice hidden tips and tricks you might not know yet. This talk is all about being more efficient when writing code.

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SpringOne2GX 2015 replay: Building Highly-Scalable Spring Applications with In-Memory, Distributed Data

Recorded at SpringOne2GX 2015.
Speakers: John Blum & Luke Shannon
Data/Integration Track
Slides: http://www.slideshare.net/SpringCentral/building-highly-scalable-spring-applications-using-inmemory-data-grids-53086251

Building highly scalable, low latency applications while simultaneously preserving consistency, high availability and resiliency requires a new breed of technology. In this presentation we introduce Pivotal GemFire along with the open source offering, Apache Geode. Apache Geode is a proven, distributed, in-memory database with ACID properties that can handle large volumes of transactional data under heavy load. Apache Geode gives Spring-based applications the edge they require as demand changes without sacrificing integrity or the end-user’s experience.

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SpringOne2GX 2015 replay: Introduction to Reactive Programming

Recorded at SpringOne2GX 2015
Presenters: Stephane Maldini & Rossen Stoyanchev
Web / Javascript Track
Slides: http://www.slideshare.net/SpringCentral/introduction-to-reactive-programming

This is your one stop shop introduction to get oriented to the world of reactive programming. There are lots of such intros out there even manifestos. We hope this is the one where you don’t get lost and it makes sense. Get a definition of what “reactive” means and why it matters. Learn about Reactive Streams and Reactive Extensions and the emerging ecosystem around them. Get a sense for what going reactive means for the programming model. See lots of hands-on demos introducing the basic concepts in composition libraries using RxJava and Reactor.

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Webinar: Creating a PageRank Analytics Platform Using Spring Boot Microservices

Speaker: Kenny Bastani

This webinar introduces you to a sample application that combines multiple microservices with a graph processing platform to rank communities of users on Twitter. The problem we’re going to solve is how to discover communities of influencers on Twitter using a set of seed profiles as inputs. To solve this problem without a background in machine learning or social network analytics might be a bit of a stretch, but we’re going to take a stab at it using a little bit of computer science history. We’re going to use a collection of popular tools as a part of this article’s sample application. The tools we’ll use, in the order of importance, will be: Spring Boot Neo4j Apache Spark Docker RabbitMQ While there are some missing pieces, such as securing REST API access, and mapping device volumes to the containers, these kinds of important topics will be covered in future webinars.

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Webinar: What's new in Spring Data

Speaker: Oliver Gierke

A year has passed and the Spring Data shipped two release train iterations packed with interesting features. This talk will give a broad overview of the most important introduced in the Fowler and Gosling release trains. We will cover recent additions and improvements in Spring Data Commons - the module that's shared amongst the store specific ones. We'll then delve into the latest and greatest features of individual store modules, like JPA, MongoDB and the community ones as well.

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SpringOne2GX 2015 replay: Get the Most out of Testing with Spring 4.2

Recorded at SpringOne2GX 2015
Presenters: Sam Brannen & Nicolas Fränkel
Core Spring Track
Slides: http://www.slideshare.net/SpringCentral/get-the-most-out-of-testing-with-spring-42-53128369

Join Sam Brannen and Nicolas Fränkel to discover what’s new in Spring Framework 4.2’s testing support and learn tips and best practices for testing modern, Spring-based applications. Sam Brannen is the Spring Test component lead and author of the Spring TestContext Framework, and Nicolas Fränkel is the author of the book “Integration Testing from the Trenches”.

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SpringOne2GX 2015 replay: Spring XD today and tomorrow

Recorded at SpringOne2GX 2015
Presenter: Mark Pollack
Big Data Track
Slides: http://www.slideshare.net/SpringCentral/spring-xd-today-and-tomorrow
In this talk we will cover the major new features added to Spring XD since last year as well as upcoming changes for the next major version. Key integrations driven by the Big Data ecosystem at large such as Kafka, Spark, functional programming, integration with Python, and designer/monitoring UIs will be introduced and demonstrated. The next major version of XD will shift to a foundation based on Cloud-Native architectural principles, where each individual module will be a standalone executable message-based microservice application based on Spring Boot. This allows us to more easily take advantage of Spring Boot and Spring Cloud functionality as well as map more natively onto runtime environments such as YARN, Lattice and Cloud Foundry.

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SpringOne2GX 2015 replay: Documenting RESTful APIs

Recorded at SpringOne2GX 2015.
Track: Web / Javascript Track
Speaker: Andy Wilkinson
Slides: http://www.slideshare.net/SpringCentral/documenting-restful-apis
An API’s documentation is a vital part of making it easy to understand and easy to use. RESTful APIs are no different. In this talk we’ll look at what should be included in your RESTful API’s documentation and, just as importantly, what should be omitted. Using real-word examples, both good and bad, we’ll discuss how the documentation should be structured so that it’s informative, succinct, and easy to read. Having identified what good documentation looks like, we’ll discuss some of the tools that are available for documenting services built using Spring. In particular, we’ll look at some of the problems and limitations of choosing a tool like Swagger and how some alternatives, including Spring REST Docs, avoid these shortcomings and help you to produce documentation that your users will love.

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SpringOne2GX 2015 replay: Spring Boot and Groovy

Recorded at SpringOne2GX 2015.
Track: Core Groovy Track
Speaker: Fatima Casau
Slides: http://www.slideshare.net/SpringCentral/using-groovy-grails-in-your-spring-boot-project
The emergence of Spring Boot has significantly improved the development of applications with Spring, allowing you to create applications faster by improving the configuration and removing repetitive tasks. Some of the dependencies that can be included are support for ‘Groovy’ and also the use of ‘GORM (Grails Object Relational Mapping)’ as well as ‘Hibernate’ for persistence. We will see where and how to use them in our projects with Spring Boot and how this set of technologies can convert our work in a great experience.

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