Learn how to handle dynamic sensor data in embedded IoT applications with free training

Direct Insight, working with its high-performance data management partner, ITTIA, will host a free online training workshop, titled 'Data Driven Embedded/IoT Design', discussing how embedded developers can best architect their systems to manage large volumes of critical sensor data in their embedded IoT applications.

"The volume, complexity and criticality of sensor data has increased exponentially in modern embedded systems," says Direct Insight co-founder and managing director, David Pashley. "Many systems now combine data from multiple sensors, adapting dynamically to triggers generated in real-time from within the data, or from AI. It's possible to streamline your data handling, respond in real-time, and reduce storage and cloud overheads. The starting point is to consider data architecture and real-time flow early in your embedded or IoT product design – not shoehorn it after you've selected your software and hardware. This is the essence of 'data-driven design'."

Traditionally, structuring real-time streaming data using a database hasn't always come naturally when designing a resource-constrained system, but increasing data bandwidth and value means we should review this orthodoxy to avoid unnecessary compromises. In this half-hour webinar and live demo, subject matter experts from the companies will outline the benefits of data driven design, demonstrating how, with the aid of data management tools, you can create flexible, configurable data structures that will allow the data to drive your system logic in real-time, combining, downsampling and reacting intelligently to the data stream locally, rather than simply recording, uploading and processing offline or in the cloud.

Also, in systems with a distributed sensor/controller topology, they will demonstrate how it is possible to seamlessly query data across connected nodes, including low-power MCUs and high-performance MPUs, allowing live data analysis to span the network. Where AI and ML are to be used, we need an approach that enables edge data to be pre-processed and conditioned in real-time. Where AI is used, for example, for anomaly detection, data capture can be dynamically adjusted according to AI outputs, empowering predictive maintenance and other modalities where we gain value in real-time from data, despite high bandwidth and/or complexity. All this can be accomplished in a cybersecurity standards-ready and functional safety-capable software environment.

During this half-hour webinar, we will demonstrate:

• Transactional table, streaming and time series data management capabilities with the ITTIA DB platform
• Integration with MCU (STM32) and MPU (i.MX9) targets running RTOS/Linux
• Real-time data observatory and analytics platform with ITTIA Analitica
• Live analysis of streaming data over multiple network nodes

Aimed at embedded and real-time systems engineers and developers, this 30-minute webinar and live demo will also include a Q&A session with our subject matter experts.

Click the 'Learn more' button to register to attend at 3pm (UK) on Thursday, 28th August 2025.