WiMi Hologram Cloud Inc (WIMI)

[StockpickerCAPC]

WiMi Develops Data Algorithm Software Based On Big Data Internet Technology.

Source
https://www.newstrail.com/wimi-develops-data-algorithm-software-based-on-big-data-internet-technology/

February 1, 2023

With the rapid development of Internet technology and the Internet of Things, network services and applications are creating a large amount of big data. These data sets need to be processed, stored, retrieved, and analyzed, and the demand for data is increasing. At the same time, the Internet of Things equipment has mobility and requires sufficient data processing performance, which also poses new challenges to big data processing algorithm technology.

WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) develops data algorithm software based on big data internet technology for big data processing of Internet of Things devices. The algorithm software uses Lambda architecture designed for big data processing, which makes computing resources easier to access, provides a flexible computing environment, enhances data display ability and optimizes resource allocation, and can be widely used in the Internet of Things, Internet of Vehicles, etc. The Lambda architecture of big data takes advantage of both stream and batch processing when processing large-scale data. Provide comprehensive and accurate data through batch processing; Provide low-latency data through stream processing to balance latency, throughput, and fault-tolerance; Finally, the results of batch processing and stream processing are combined to realize the real-time downstream query.

Lambda architecture is divided into three layers, which can simultaneously support mass offline and real-time data processing.
The three layers are designed as
- the Batch Layer,
- Speed Layer, and
- Serving Layer.
The Batch Layer is used to batch process all data, batch process all data through pre-calculation, and generate different Batch Views. The pre-calculation process will set different time intervals according to different businesses. The speed Layer is used to support Lambda architecture’s real-time data processing process. It is specially used to monitor data changes, process incremental real-time data, and generate Real-time Views for data calculation. The serving Layer is used to respond to the user’s query request. It combines Batch Views caused by the Batch Layer and Real-time Views generated by the Speed Layer to provide users with the final results of the query. Lambda architecture processes batch data and incremental data, respectively, through the idea of hierarchical design to meet the requirements of the real-time query.

Based on Lambda architecture, WiMi’s software, combined with the application of fog computing, further enhanced the system’s ability to batch process data and visualize big data processing. The fog calculation function enables the data to be collected from the underlying data source, and the original data in various formats enter the big data platform, and then go through the data components for preprocessing (collection, classification, etc.), and then split the data into two lines for calculation. One line is to enter the streaming computing platform to calculate real-time indicators; The other line enters the offline computing platform for batch data processing to calculate relevant business indicators. Finally, real-time and offline data will be combined to provide a full indicator data display.

Fog computing is a system-level multi-level architecture from cloud to Thing, with multiple functions such as distributed computing, communication, storage, control, and networking. With the rapid development of artificial intelligence and the Internet of Things, cloud data centers need help to efficiently meet the requirements of processing massive data. Fog computing can process and store data that does not need to be placed on the cloud directly at the network edge layer, improve the efficiency of data analysis and processing, reduce the delay, reduce the pressure of network transmission, and improve security. The fog calculation uses data in a vision-based way, and through in-depth computer learning, it can effectively collect practical information and eliminate invalid data. It supports high mobility, enabling direct communication between network edge devices, and the communication signal does not need to be uploaded to the cloud or go around through the base station, reducing the information transmission distance.

The development of the Internet of Things and big data has brought obvious convenience to people’s lives. With the maturity of the big data algorithm, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI), based on the significant data internet technology data algorithm software, will be widely used in the data processing of all kinds of Internet of Things applications, realizing the organizational structure and decision-making mechanism of the intelligent Internet of Things that is more and more convenient and closer to human society, and providing the Internet of Things world with accessible and ubiquitous smart services.