What is "big data" and how to understand it?

Hello, big data refers to massive data, refers to huge, high-growth and diversified information assets, and needs new processing modes to have stronger decision-making, insight and process optimization capabilities.

At present, big data technology, as an emerging technology, is needed by many Internet companies, taking Huawei as an example.

1, Huawei Cloud launched a big data audit scheme to solve the evasion.

Many friends may find that toll stations in some provinces are decreasing, while ETC channels are increasing, and the travel experience of expressways is smoother than before. However, while the public experiences the advantages of cost saving and convenient passage, the management and operation units of expressways are troubled by the new situation.

Some car owners have diversified ways to evade fees, including changing cards, separating the front of the car from the trailer, switching electronic tags, ETC lanes and car evasion fees. At the same time, the behavior of fee evasion has evolved into specialization and gangs, which has brought a lot of economic losses and severe challenges to high-speed operating units.

At present, the traditional auditing methods are still mainly used in toll stations. The traditional way is usually based on the initial abnormal information of vehicles, such as frequent stops, but it is difficult to find a large number of evasion. The main questions are:

There are few applications of big data analysis and lack of in-depth data analysis.

Basically, it is mainly based on charging data, and the supporting evidence such as video/pictures is insufficient.

It is inefficient to rely on a large number of manual audits.

In view of the shortcomings of traditional auditing methods, Huawei Cloud officially launched a highway big data auditing solution.

Based on Huawei's leading cloud digital platform in the cloud industry, combined with Huawei's deep accumulation in the expressway industry, the scheme realizes the automatic analysis of massive traffic record data by using big data, artificial intelligence, cloud computing and other technologies. Combined with the image records captured by the entrance camera, it realizes the accurate identification of vehicles that evade fees and ensures the income of high-speed car owners.

Huawei Cloud Big Data Audit Solution includes three platforms:

AI edge audit platform, based on the edge architecture of Kunpeng 920 and Shengteng 3 10 chip+intelligent edge platform IEF independently developed by Huawei, realizes real-time processing of 30+ vehicle features, identification of tens of thousands of vehicles, audit scenes and storage of vehicle traffic photos;

Big data audit platform mainly includes infrastructure layer, platform layer, enabling layer and application layer;

Infrastructure layer: providing basic resources such as computing, storage and network.

Platform layer: provide general platforms and components such as Dayu, AI development platform ModelArts, edge management platform IEF, database and middleware.

Enabling layer: provides basic capabilities such as vehicle identification algorithm, map search and path recovery.

Application layer: including public service systems such as audit system and customer service system, in which the audit system mainly realizes audit-related functions such as fee evasion model, traffic record analysis, evidence chain management, credit management and black-and-white list management.

Vehicle feature training and development platform, to realize the continuous improvement of new vehicle type recognition and vehicle feature recognition ability, and the persistent storage of abnormal vehicle traffic photos; Among them, ModelArts is a one-stop AI training and development platform, which provides massive data preprocessing, semi-automatic labeling of vehicle models and vehicle features, large-scale distributed training, automatic generation of vehicle identification models, and on-demand deployment of models on the cloud.

2. Huawei Big Data Engineer

Huawei Cloud is committed to providing customers with highly credible business operation environment, easy access, on-demand use and flexible expansion of cloud security services to help customers protect application systems and important data on the cloud. Huawei Cloud has obtained more than 20 safety compliance certifications such as CSA STAR and ISO safety system, and passed the four-level evaluation of the same safety on 20 18.

At present, large companies including Internet head enterprises such as Tencent and Ali are actively using technologies such as big data and cloud computing to empower their products.

For example, Netease Cloud Music, which was the first to use big data technology for personalized music recommendation, and the product recommendation function commonly used in e-commerce platforms are all representatives based on the application of big data technology.

Take Huawei as an example. Huawei has offered 1-3 years of experience to big data development engineers with a monthly salary of up to 40,000. It only takes 1-3 years of work experience to recruit 30-60 K big data development engineers in other big factories. It can be said that big data and cloud computing are still the current dividend positions.

I hope my answer is helpful to you!