Flo for Spring XD: Composed Batch Job Orchestration

Flo for Batch pipeline builds upon the newly supported Batch DSL in Spring XD that can be used to create composite batch workflows involving sequential, parallel or even the combination of both jobs.


Source : https://www.youtube.com/watch?v=kr_79McGjHY

IoT Realized with Spring XD - The Connected Car

In this demo we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc), analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing real time dashboards will all be covered. Watch this demo to get a sense of how Spring XD can serve as “Legos®” for the IoT.




Source : https://www.youtube.com/watch?v=qkm2GV57hzY

Introducing Spring XD

Developing Big Data applications is a relatively new art and developing a comprehensive solution can be challenging. Some of the key challenges arise from bringing together complex domains such as stream analysis, batch workflow orchestration and data import and export.

Several open source projects that address developing big data applications have emerged in the past few years but each project typically only address one of these domains.

Furthermore, being distinct independent projects they have different configuration and extensibility models. Spring XD is a new project that aims to tackle big data complexity. It builds upon proven Spring technologies and provides a scalable run time environment that is easily configured and assembled via a simple DSL.

Come discover how easy it is to create big data applications in this introduction to Spring XD.



Source: www.youtube.com/embed/3Wycvyqn0n4?list=PLgGXSWYM2FpOXky1eHFbX0Eb0I58YmCNS

Real Time Analytics with Spring

Today's solutions must provide the ability to interpret related events and understand trends that are happening right now. This session will cover some of the out of the box capabilities of Spring XD to tap into big data streams and generate metrics such as simple counters, aggregate counters, moving averages, rates of change, and histograms. Hands-on demos will show you how Spring XD uses Redis and GemFire's Continuous Query and Function Execution to incorporate real-time analytics into event-driven applications.



Source: https://www.youtube.com/watch?v=g1tTK5PsvjE