Recorded at SpringOne2GX 2014.

Speaker: Roman Shaposhnik

Big Data Track

Slides: http://www.slideshare.net/SpringCentral/hadoop-201-deeper-into-the-elephant

This session expands on the previous year's "Hadoop: Just the Basics for Big Data Rookies", diving deeper into the details of key Apache Hadoop projects. We will start with a brief recap of HDFS and MapReduce, then discuss more advanced features of HDFS, in addition to how YARN has enabled businesses to massively scale their systems beyond what was previously possible. We will then discuss Apache HBase, the non-relational database modeled after Google's BIg table, review the data model, architecture, and common use cases. By the end of this session, you will learn how these three core Hadoop projects are used to solve even the most challenging Big Data problems.

 

Speakers: Mark Pollack, Mark Fisher, Sabby Anandan

Worried about Big Data and the challenges inherent in making a real application? You don’t have to worry anymore! Spring XD provides a one-stop shop solution that spans traditional enterprise to Big Data use cases - both batch and streaming. It's important to choose the right tool for each use-case, which is why Spring XD integrates with technologies such as Spark, Reactor and RxJava to demonstrate the flexibility and the unified programming model to support complex data computation use-cases. In this webinar, we'll show you how to develop data-driven use cases much faster than other big data solutions on the out of the box XD runtime.

Tuesday, Feb 17th, 2015 3:00PM GMT (London GMT) Register

Tuesday, Feb 17th, 2015 10:00AM PST (San Francisco GMT-08:00) Register

 

Speaker: Josh Long, Pivotal

Back in the era of the application server, HTTP Session replication was a common way to scale out user session data, as well as make it fault tolerant. In today's world of lightweight containers, PaaS, and virtualization, Spring Session offers a 100% server and/or container portable HTTP Session. See how Spring Session easily plugs in implementations like Redis, scales out across a cluster, handles multiple users' browser sessions, works with WebSocket, and allows header based authentication within REST apps. It's a perfect fit for working with user data, particularly in a highly distributed environment like the cloud, or on a Platform like Cloud Foundry.

Tuesday, Feb 24th, 2015 3:00PM GMT (London GMT) Register

Tuesday, Feb 24th, 2015 10:00AM PST (San Francisco GMT-08:00) Register

 

 

Speaker: Andy Wilkinson, Pivotal

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 webinar we'll look at what should be included in your RESTful API's documentation and, just as importantly, what should be omitted. To illustrate this we'll look at some real-world examples of good and bad API documentation. We'll look at some of the problems and limitations of choosing a tool like Swagger to produce your API's documentation and conclude by looking at some alternatives that are better-suited to producing documentation that your users will love.

Tuesday, Feb 3rd, 2015 3:00PM GMT (London GMT) Register

Tuesday, Feb 3rd, 2015 10:00AM PST (San Francisco GMT-08:00) Register

 

 

Recorded at SpringOne2GX 2014.

Speaker: Rossen Stoyanchev

Slides: http://www.slideshare.net/SpringCentral/s2gx2014-spring4webapps

Web / JavaScript Track

The Web and Spring MVC continue to be one of the most active areas of the Spring Framework with each new release adding plenty of features and refinements requested by the community. Furthermore version 4 added a significant choice for web applications to build WebSocket-style architectures. This talk provides an overview of the areas in which the framework has evolved along with highlights of specific noteworthy features from the most recent releases.

Recorded at SpringOne2GX 2014.

Speakers: Matthew Adams (SCI Spike), Michael Nitschinger (Couchbase)

Data / Integration Track

Slides: http://www.slideshare.net/SpringCentral/cassandra-couchbase-andspringdataintheenterprise

Spring Data Cassandra brings Cassandra support to the Spring Data umbrella of projects, offering Spring Data's familiar Repository concepts & POJO persistence. This talk will focus first on POJO persistence over Cassandra, including automatic Cassandra schema generation and Spring context configuration using both XML & Java. Then, the talk will dig deeper into some of the lower-level features that Spring Data Cassandra is built upon (AKA "Spring CQL"), which make plain, old Cassandra development simpler & easier. Couchbase Server is well-known as one of the leaders in the NoSQL space, heavily used in enterprises and startups alike where low latency even at hundreds of thousands of operations per seconds matters. This talk will not only give a short introduction about the benefits of adopting Couchbase, but also show how to integrate it into your Java Enterprise landscape through its support for Spring Data. You will learn how to fully control your database schema from the application through entities and repositories, how to deploy new application versions or scale out your cluster without a single second of downtime and also how to integrate easily with elasticsearch.

Recorded at SpringOne2GX 2014.

Speaker: Garrett Wampole, MITRE

Data / Integration Track

Slides: http://www.slideshare.net/SpringCentral/applications-of-enterprise-integration-patterns-to-nearreal-time-radar-data-processing

Enterprise Integration Patterns, a set of software design concepts described in a book by Gregor Hohpe and Bobby Woolf and implemented in software by the Spring Integration project, are traditionally applied in the application domains such as business intelligence, supply chain management, and customer relationship management. The topic of this presentation is to describe an experimental methodology of applying Enterprise Integration Patterns to the near-real time processing of surveillance radar data and the engineering trade-offs encountered in the areas of development, deployment, operation, and analysis of ground-based surveillance radar systems with a focus on the Modular Experimental Radar program developed by MITRE for its sponsors.

 

Recorded at SpringOne2GX 2014.

Speaker: Sergi Almar

Slides: http://www.slideshare.net/SpringCentral/deep-dive-intospringwebsockets-sergialmarspringone2gx2014

Web / JavaScript Track

WebSocket support has been part of Spring since 4.0. In this session we'll review the architecture behind it and we'll try to show how to build highly scalable websocket based applications. We will also cover the new features in Spring 4.1, the new Spring Security 4 support for WebSockets and the different testing approaches.

 

Webinar: Building Scalable Data Applications with Spring and GemFire

Speakers: Luke Shannon, Pivotal

Slides: http://www.slideshare.net/SpringCentral/building-scalable-web-applications-with-spring-data-gemfire

GemFire is Pivotal's distributed In Memory Data grid. In this session we will cover simplifying configuring a GemFire grid using Spring Data GemFire, and explore how data is dynamically distributed and made highly available as the grid resources are increased or decreased to meet increased client demand. GemFire access and testing patterns using Spring will be reviewed in detail. We will walk through creating a domain object and using Spring Data GemFire Repositories to perform CRUD operations on a GemFire grid, creating a Spring MVC/Spring Boot application that uses GemFire as its persistence layer, review how Spring Boot and Spring Data GemFire can be used to help with GemFire test cases and how Spring Data GemFire can make creation and execution of GemFire functions easier. We will also explore how Spring XD can be used to load and monitor data changes in the grid. This will be a hands on, code oriented session.