Building Reactive Data-centric Applications with Vortex, Apache Spark and ReactiveX Live Webcast

Date: 30th April 2015
Location: Online

Why Attend:

  • Understand the foundations of Reactive Data-Centric Architectures as promoted by the reactivemanifesto.org and the datacentricmanifesto.org
  • Learn about the features of Vortex that support Reactive Data-Centric Architectures
  • Learn how Vortex can be used in combination with Apache Spark and ReactiveX to build high performance data-centric

Abstract:

An increasing number of Software Architects are realizing that data is the most important asset of a system and are starting to embrace the Data-centric revolution (datacentricmanifesto.org) — setting data at the center of their architecture and modeling applications as “visitors” to the data. At the same time, architects have also realized that reactive architectures (reactivemanifesto.org) facilitate the design of scalable, fault-tolerant and high performance systems.

Yet, few architects have realized that reactive and data-centric architectures are the two sides of the same coin and should always go hand in hand.

This webcast will show how reactive data-centric systems can be designed and built taking advantage of PrismTech’s Vortex data sharing capabilities along with its integration with reactive and data-centric processing technologies such as Apache Spark and ReactiveX.

The webcast will last approximately one hour.

Webcast Presenter:

Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at PrismTech where he directs the technology strategy, planning, evolution, and evangelism. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group and serves on the Architecture Board. Angelo is a widely known and cited expert in the field of real-time and distributed systems, middleware, and software patterns, has authored several international standards and enjoys over 10+ years of experience in technology management and design of high performance mission- and business-critical distributed systems. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.