The concept of big data has been around for a long time, but it has been dormant for a long time. In recent years, with the enhancement of people's awareness and the concept of updating, big data is back in people's eyes, and gradually become a wave of innovation. Big data, also known as "Big Data", involves data volumes so large that they cannot be captured and managed by mainstream tools in a short period of time. For this massive, high-growth and diverse information asset, only by applying stronger insight, decision-making and process optimization capabilities can we discover the laws and values hidden behind the data, and the prevalence of sensors in wearable devices and automobiles signifies that the application of big data has begun to extend to the Internet of Things.
In the IoT, the application of big data technology puts forward higher requirements: first, the amount of data in the IoT is much larger. The constituent nodes of the Internet of Things, in addition to people and servers, also include objects, devices, sensor networks, etc., and the data flow is constantly generated, and the scale of its quantity is much larger than that of the Internet. Secondly, the data transmission rate in IoT is higher. As IoT is directly related to the real physical world, it requires real-time access and control of corresponding nodes and devices, which needs to be supported by high data transmission rate. In addition, the massive amount of data in IoT inevitably requires higher transmission rates. Furthermore, the data in IoT is more diverse. The Internet of Things involves a wide range of applications, from smart home, intelligent transportation, intelligent medical care, intelligent logistics to security monitoring, etc., all of which are applications of the Internet of Things. At the same time, in different fields and industries, it is also necessary to face different types and formats of data, which makes the data in the Internet of Things more diverse.
Aiming at the massive data processing and application needs of IoT, the development team of Everything Cloud has built a big data service platform for smart hardware and IoT applications on top of the existing DataCube. The platform includes a hardware data service interface, a platform data service logic layer and a set of application-oriented programming interfaces. IoT development teams only need to focus on hardware and applications, and can easily handle big data on IoT through the Everything Cloud. Specifically, Everything Cloud has the following features.
Rich and diverse application functionality. First, it provides clear and concise programming examples, interface documentation, and rich sample code to help developers quickly develop cross-platform IoT applications, and provides comprehensive technical support through community forums, social platforms such as WeChat and Weibo. At the same time, the Everything Cloud platform supports HTTP, MQTT and TCP interface protocols, and opens the third-party device data reporting interface, allowing access to a variety of smart devices, and data query can support millions of levels of QPS, and optimize the data upload and download speed with distributed data storage node strategy.
Safe and worry-free service experience. The cloud provides users with perfect authentication means, users through accesskey authentication and seckey authentication to ensure data access security and equipment data security. In addition, the platform sets different levels of data access rights and access levels, provides multi-user and multi-application data isolation mechanism and professional data copy mechanism, and is protected by a powerful enterprise-class firewall to ensure that user data is not lost, not leaked, and not stolen.
Unrivaled price/performance ratio. On the one hand, Everything Cloud storage system supports elastic expansion, storage space can be maintained at massive scale, support for single-table PB-level data storage and horizontal infinite expansion of the table structure, which ensures real-time data and accuracy, i.e., providing users with a one-stop solution for data storage and processing, so as to enable them to focus on business development and scale-up. On the other hand, the application of Everything Cloud only requires low development and operation and maintenance costs, and most users will be provided with free data services, which can meet the needs of users at various stages of application prototype development, product commercialization and operation management.