Empowering devices to independently collect, manage and distribute data is an important part of device data science. Devices collect a large volume of data, but cloud data management has important limitations. A modern device database for flash media solves this paradox by enabling on-device data management. Due to important factors such as security, bandwidth cost, performance, and nature of many embedded systems, device manufacturers cannot ignore the importance of embedded data management.
During this session, we will introduce the benefits of on-device data processing for IoT devices and explain how to empower an IoT edge device, such as ARM Cortex A, to operate without network.
Key Highlights for our webinar:
- Devices data management options and breakthrough solution
- Simplifying device data management for large quantity of data
- Hardware and software for attack prevention
- Secure replication and secure SQL for device data management
- Critical data management disruption and high availability
- Techniques to minimize device data management cost
Specifically, attendees will learn how to:
- Identify common device data management options and requirements
- Embed a database on a device, covering best practices and design philosophies
- Leverage existing database knowledge and SQL for IoT device data management
