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Data science is a complex process of extracting, integrating, and analyzing data, combining knowledge from computer science, mathematics, statistics, and related fields to help companies understand their customers, understand industry competition, and make relative decision-making.
A data lake is a centralized repository for storing, processing, and securing large volumes of structured, semi-structured, and unstructured data. It can store data in its native format and handle any conversion format regardless of size limitations.
The vision of the Internet of Things is to make everyone's life better, safer, and more convenient. To achieve this goal, we must first increase the speed of data processing, generate real-time intelligence, and allow IoT data to make informed decisions in seconds.
AIOps uses artificial intelligence to simplify IT job management and accelerate and automate problem resolution in complex, modern IT environments.
Central data processing services are usually used to complete key tasks in computer and telematics processing. Services generally include environmental control, (air conditioning system to prevent fire, etc.) and maintaining emergency power, redundancy, and high physical security.
With the development of IoT technology, a large amount of data is constantly being exchanged and transmitted every minute and second every day, which is used as the basis for artificial intelligence, big data analysis, blockchain, and machine learning and other digital technologies, but then the data is derived Relevant issues such as security protection, data management, and privacy protection policies should have more sound planning and protection, in order to respond to technological changes of the times.
After "Cloud Computing", a new term "Fog Computing" has been added in recent years. It mainly comes from the phrase "fog is a cloud closer to the ground".
Edge computing technology is an extension of cloud computing. It can improve the analysis technology of cloud data. It is a concept of nearby computing. Its technology is gradually applied to various industries so that each industry can break through the existing restrictions and increase its productivity and efficiency.
What is the development and application prospect of edge computing? When cloud computing is not enough to process and analyze data generated or to be generated by IoT devices, connected cars and other digital platforms in real time, edge computing will come in handy. Edge computing technology has the potential to be applied in many industries and plays a huge role.