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Leveraging Database Replication for Incremental Backup

Regular backups are a common technique to protect critical data from hardware failure. But for embedded devices that continuously collect and analyze IoT sensor data for months or years at a time, a full backup is often too large to run frequently. Instead, incremental backups ensure that new data is continuously protected. Devices also need to run autonomously, without a system administrator, so any backup solution needs to be easy to automate.

Breaking Down a Real-Time Autonomous Data Management Framework

Advances in computing greatly impact the way we will go about our lives. From agriculture using robotics to manage the day-to-day care of livestock to fast food restaurants finding ways to minimize waste, autonomous systems are revolutionizing every industry. Because intelligently applied automation improves quality, consistency, and efficiency, we are willing to put our trust in the intelligence and reliability of autonomous systems that will manage and store important data.

An autonomous system is a collection of connected devices that perform tasks automatically through self-learning and self-management. These systems are starting to use the Internet of Things, IoT. As a large volume of data accumulates on each connected device, a complete data management approach is required. But how can system architects solve this problem in a new automation product and bring it to market on time?

How to Build Edge Devices with a Strong Industrial IoT Data Management Framework

The Internet of Things, IoT, is inviting devices to change our lives. From managing home appliances to vehicles interacting with roads and cities, devices can advise one on what to do, what to eat, where to go and how to get there. When it comes to the industrial aspect of IoT, devices assist in managing processes during which alarm management adds value to predict faults and catastrophes. Things are getting embedded with and controlled by smart devices that come together to automate tasks, so we can maximize our time. Intelligent things can collect, transmit and understand information.

ITTIA DB SQL and VxWorks

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 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.

Embedded Database for Renesas IoT Device

ITTIA and Renesas partnership provides full data management ease-of-use for IoT devices on RZ/A that pairs the power and versatility of microprocessors with the compactness and simplicity of microcontroller.

Going Beyond Flat File Data on IoT Devices with Embedded Database

IoT endpoint devices are responsible for so much information, IoT software developers need to carefully consider how data will be managed and stored. Managing data collected on sensors, gateway devices, and embedded systems is a complex task, especially over a long period of time. Data is everything in modern development practices, with many convenient ways to manage, access, and share information. Yet ARM embedded software developers still use flat files to store information in market-dependent formats that are difficult to efficiently analyze and communicate to other systems.

ITTIA DB SQL and Micrium's µC/OS Powerful Collaboration

The integration of ITTIA DB SQL and Micrium’s µC/OS delivers high-performance data processing for mission-critical applications.

“As the market for secure, intelligent, and connected devices is constantly expanding, developers of these embedded devices seek the freedom to use standards such as SQL without relying on internet connectivity,” said Sasan Monteseri, ITTIA president and founder. “This need drove our collaboration with Micrium, leveraging our combined expertise to bring a powerful data processing capability to embedded systems.”

Data is King when it comes to the Internet of Things

What actually comprises the “Things” part of the IoT? That is the discussion between Sasan Montaseri and Max Maxfield, Embedded editorial director, as they bounce ideas back and forth. Using the example of a self-driving, battery-powered taxi, there is a lot of data generated. Read the discussion as Max reveals that he is a “little fluffy around the edges” when it comes to databases.

ITTIA Delivers Embedded Data Management for the Era of Intelligent Things

We are announcing ITTIA DB SQL version 7, which, in addition to data management for embedded systems and smart mobile devices, also provides Internet of Things capabilities.

Database in a new era of application development

A new age is dawning for the development of applications on embedded systems and devices. This era is about connecting billions of devices, each containing a wealth of information. How can you prepare to design and build the connected, data-driven applications of the future?

Developers and manufacturers are seeking new alternatives to improve performance, reduce cost, and keep up with growing data. In this new article, discover the aspects of embedded data management that will be most important for the development of your next product.

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