ITTIA technical white papers are in-depth studies that tackle novel ideas or complicated technical problems, providing thorough analysis and fact-based knowledge about data processing and management in embedded systems. They are advantageous because they offer a thorough grasp of complex subjects, facilitate well-informed decision-making, and highlight the experience of a business. Our white papers provide developers and architects with useful information and workable ideas for creating embedded systems that are sensitive to data.
Data management with microcontrollers (MCUs) and electronic control units (ECUs) presents challenges related to data volume, quality, integration, security, and compliance, requiring robust strategies and software. Problems due to limited processing power, memory constraints, and the need for efficient storage and retrieval of data make data management tasks especially complex for these devices. In this white paper, we review the important elements of data processing and data management challenges and explain how ITTIA DB tackles each issue and solves the problem for manufacturers that are building embedded systems.
In the rapidly evolving automotive industry, data has become the new fuel powering innovation and progress. From engine performance to driver behavior, sensors capture a constant stream of information that holds the key to unlocking a new era of automotive innovation. However, effectively managing this data presents a significant challenge.
In the wake of the Internet of Things (IoT) and Artificial Intelligence (AI) era, applications running on an edge network, such as STM32 devices from STMicroelectronics, need to be able to absorb, process, and interpret data points at a high sample rate. A crucial part of many embedded systems are microcontrollers (MCUs), which are increasingly in charge of gathering, processing, and managing the data that arrives and passes through them via sensors and other datapoints. The procedure begins locally with devices like STM32where manufacturers are searching for creative ways to comprehend and monetize every bit of data that they can collect.
This white paper explains the embedded data management security risks and threats associated with device data, introduce ITTIA’s Security Development Lifecycle (SDL), discuss the most important security challenges, and propose embedded database-level countermeasures. The white paper also explores how the integration of embedded data management security empowers developers to prevent cyber security attacks and share how the right database software provides real defense value for the threat faced by manufacturers of embedded systems during the design phase and system requirements planning.
SQLite is a database engine written in the C programming language that software developers embed in their apps. As such, it belongs to the family of embedded databases. ITTIA DB is a commercial embeddable database written in the C and C++ programming languages. It is ideal for sensors and IoT devices to stream, understand, and store real-time data acquired from sensors and other IoT nodes.
This white paper compares the two technologies on Intel and Arm architectures, with Linux, and shares critical findings.
In this white paper, we will share the benefits of Edge database software for empowering applications to efficiently extract the valuable data from smart sensors and intelligent devices, make sense of the data captured, and intelligently select and store potentially important and alarming information. We also explain how embedded systems can take advantage of data management and processing to inject intelligence into the system for making autonomous decisions and taking action.
The world that we live in is continuously transforming. The way energy is managed at home, the way medical devices manage and monitor our personal health data, and the way devices inside robots improve the production of a factory are all changing. Sensors, sophisticated chips, and an exceptional number of objects are embedded everywhere and are becoming more important in our daily lives in order to produce, transmit and receive data. Powerful embedded platforms receive and identify exactly what information is valuable and then use it to detect patterns, make decisions, and solve problems before they arise.
ITTIA DB SQL© and VxWorks© are ideal for embedded device manufacturers and Internet of Things development. In both products, developers can select the precise combination of features and components to support specific target hardware and firmware requirements. This shared design philosophy drives down per-unit costs and improves efficiency when applications are integrated with ITTIA DB SQL and VxWorks.
Intelligent embedded systems and devices that produce and consume information are the basis for innovative new products that make informed decisions to improve our everyday lives.
