Data Distribution Service (DDS) Training

Live Online & Classroom Enterprise Training

Data Distribution Service (DDS) is a real-time, publish-subscribe middleware for high-performance, scalable, and reliable data exchange in distributed systems. It is widely used in IoT, defense, and autonomous systems.

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What is Data Distribution Service (DDS) Training about?

The Introduction to Data Distribution Service (DDS) course provides a comprehensive understanding of the DDS architecture, principles, and its role in real-time data communication systems. Participants will explore the publish-subscribe model, QoS (Quality of Service) policies, and data-centric communication mechanisms that make DDS ideal for high-performance, mission-critical systems such as autonomous vehicles, robotics, defense, and industrial IoT. Through theoretical and practical insights, learners will gain the foundational knowledge to design, develop, and deploy distributed applications using DDS middleware.

What are the objectives of Data Distribution Service (DDS) Training ?

Understand the core concepts, architecture, and standards of DDS.
Explain the data-centric publish-subscribe communication model.
Configure and use Quality of Service (QoS) policies effectively.
Design distributed and real-time systems using DDS middleware.
Evaluate DDS in comparison with other messaging and communication technologies.

Who is Data Distribution Service (DDS) Training for?

Software Engineers and System Architects.
IoT and Embedded Systems Developers.
Network and Communication Engineers.
Real-time and Distributed Systems Professionals.
Students or professionals exploring middleware and data communication technologies.

What are the prerequisites for Data Distribution Service (DDS) Training?

Prerequisites:

Basic knowledge of networking and distributed systems.
Understanding of client-server or publish-subscribe communication models.
Familiarity with programming languages such as C++, Java, or Python.
Awareness of middleware technologies (MQTT, AMQP, Kafka, etc.) is beneficial.
Interest in IoT, robotics, or real-time data applications.

Learning Path:

Introduction to DDS and its Use Cases
DDS Architecture and Data-Centric Publish-Subscribe Model
Quality of Service (QoS) Policies and Configuration
DDS Implementation and Integration (RTI Connext, OpenDDS, Fast DDS)
DDS Best Practices, Performance Tuning, and Case Studies

Related Courses:

Advanced Data Distribution Service (DDS) Programming
Real-Time Systems and Middleware Fundamentals
Internet of Things (IoT) Communication Protocols
MQTT and AMQP for IoT Developers

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: DDS Fundamentals

Overview of DDS architecture

Publish-Subscribe communication model

Domain, Topic, and DataWriter basics

DataReader interaction and filtering

DDS Global Data Space concept

Comparison with other middleware

Module 2: DDS QoS Policies

Introduction to Quality of Service

Reliability and durability policies

Deadline and latency budgeting

Ownership and liveliness settings

History and resource limits

Custom QoS configuration

Module 3: DDS Security Framework

Secure communication channels

Access control enforcement

Authentication and cryptographic services

DDS security plugins and profiles

Threat modeling in DDS systems

Data integrity and confidentiality

Module 4: Real-Time Systems Integration

Timing constraints in DDS systems

High-performance data delivery

Resource management in embedded DDS

Real-time OS interaction

Data fusion and event handling

Fault-tolerant design principles

Module 5: DDS in Industrial Applications

DDS in aerospace and defense

Automotive autonomous systems

Industrial automation and SCADA

Maritime and space communications

Smart grid and energy systems

Interoperability and standardization

Module 6: DDS Deployment and Testing

DDS setup and configuration tools

Testing data flows and performance

Troubleshooting communication delays

Real-world case studies

Monitoring and diagnostics

Best practices for deployment

Who is the instructor for this training?

The trainer for this Data Distribution Service (DDS) Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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