Overview of ScaleOut’s Digital Twin Model
This topic provides an overview of ScaleOut’s digital twin model for streaming analytics and simulation. It explains how the digital model uses object-oriented design principles, business rules, and machine learning to simplify design of digital twin applications. This model allows streaming analytics to enhance introspection on incoming data streams for large numbers of data sources and easily visualize real-time, aggregate analytics. It also simplifies the construction of simulations by allowing developers to focus on modeling simulated entities and ignore the details of orchestration, message delivery, scaling, and high availability.
- What Is ScaleOut’s Digital Twin Model?
- Using Digital Twins for Streaming Analytics
- Using Digital Twins for Simulation
- Aggregate Analytics with Digital Twins
- Building a Hierarchy of Digital Twins
- Using Object-Oriented Design Principles
- Machine Learning
- Azure Digital Twins Integration
- Hosting Digital Twins Using In-Memory Computing