Training Session by ScaleOut Software
This free training session provides an in-depth look at a new, object-oriented software technique for stream-processing called real-time digital twins, which are used to track the state of large numbers of data sources, such as IoT devices, vehicles, or even e-commerce shoppers. Unlike conventional, pipelined techniques, real-time digital twins incorporate dynamic context about each data source in the analysis of incoming messages. They allow an application to develop a significantly deeper understanding about the data source so that it can take more effective action. Using an underlying in-memory computing platform, they also enable real-time, data-parallel analytics that surfaces emerging issues and maximizes situational awareness.
- Overview of real-time digital twins, sample applications, software concepts, and use in data-parallel analytics
- Tour of the ScaleOut Digital Twin Streaming Service, a cloud-based service for hosting real-time digital twins with integrated data-parallel analytics, visualization, and query
- In-depth look at sample applications and source code with demos on the ScaleOut Digital Twin Streaming Service:
- Wind Turbine Tracking Application (C#)
- Power Grid Security Alerting Application (Java)
- Contact Tracing Application (C#)
- Hands-on development and testing of a real-time digital twin model in Java or C# using a mock development environment
Although not required to attend, to extract full value from this training session and participate in the hands-on development, attendees should have a working knowledge of either Java or C#. They also should download the ScaleOut Real-Time Digital Twin libraries and mock development libraries in advance so that they can build and test a simple real-time digital twin model:
- Java developers can find instructions for downloading and using the real-time digital twin libraries and for the mock development environment here. Online API documentation can be found here.
- C# developers can find instructions for downloading and using the real-time digital twin libraries and for the mock development environment here. Online API documentation can be found here.