* Understand the importance of Data Modeling and taxonomies for the Internet of Things (IoT) * Learn the key techniques for effective and extensible Data Models Design * Learn about the most common Data Distribution Service (DDS) Data Modeling Idioms
The Internet of Things (IoT) is about extracting and leveraging the tactical and strategic value of data. To do so it is essential that the sub-systems cooperating toward this goal agree on the meaning of data, and can share a “uniform” or at least an “equivalent” representation of data. Without a shared and agreed data model any IoT application quickly becomes an integration bazaar doomed to implode under the weight of layers of translations.
Additionally, data models, and in general data-centric architectures, provide a more stable abstraction-barrier than service APIs and service-oriented architectures – the failure of traditional Service Oriented Architectures (SOA) in favor of Resource-Oriented architectures is yet another example of this. Thus, for “data-intensive” systems that are expected to have a long life-cycle, and that require interoperability, such as IoT applications, data-centric architectures are the most natural choice.
The Data Distribution Service (DDS), is used as the data-management infrastructure at the foundation of many IoT applications, such as Smart Grids, Smart Transportation, Connected Vehicles and Smart Agriculture. One of the differentiating characteristics of DDS is its support for data- and resource-centric architectures.
This webcast will (1) explain the role and scope of data modeling in IoT – with references to the Reference Architecture Model Industrie 4.0 (RAMI 4.0) and the Industrial Internet Reference Architecture (IIRA), (2) introduce the techniques at the foundation of effective and extensible Data Models, and (3) explain how to design effective Data Models for systems powered by DDS.
Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at ADLINK Technology Inc. As CTO he looks after technology strategy and innovation for ADLINK’s Industrial Internet of Things (IIoT) Platform. Angelo also serves as PrismTech (an ADLINK company) CTO, where he looks after technology strategy and innovation for PrismTech's Vortex IIoT data sharing platform. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group. Before joining PrismTech, Angelo was working as a Scientist at the SELEX-SI and FINMECCANICA Technology Directorate. There, he was responsible for the corporate middleware strategy, for strategic standardization, and R&D collaborations with top Universities. Angelo is a well-known and cited expert in the area of high performance and large scale distributed systems with 100s of publications for referred journal, conferences, workshops, and magazines. 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.