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On July 15, the third day of the Beijing Science and Technology Expo, the "Future Industry" series of promotion and release activities continued to attract the attention of the audience. At the big data industry special meeting, many company leaders introduced the latest developments and cutting-edge applications of big data to Beijing Business Daily reporters. From agriculture to finance, the big data industry is continuously releasing value, and the enhancement of the "computing power base" and self-developed technology has also made data services more affordable and efficient. If big data previously focused on industry empowerment, it is now driving the structural transformation of thousands of industries.

From the Field to the Bank

At the promotion meeting, a number of business leaders demonstrated cutting-edge big data applications to Beijing Business Daily reporters. Zhang Gong, founder and CEO of Beijing Jiagetiandi Technology Co., Ltd., introduced how to use big data to enable farmers to "have the best technology and grow the best food."

Based on multi-source data represented by satellite remote sensing, combined with artificial intelligence and cloud computing technology, Jiagetiandi applies big data to modern agriculture. It has currently served more than 400 million mu of farmland in China, covering 30 provincial administrative regions. The company will deploy IoT devices on farms, collect agricultural data and hand it over to the company team for analysis, so as to provide timely guidance to local farmers on fertilization, pesticide application and irrigation.

The "cloud farming" approach directly addresses the pain points in current agriculture, such as high planting management costs and weak disaster resistance. Farmland management supported by big data can achieve large-scale supervision of planting resources at a low cost, timely prevent disasters and reduce losses, and reduce costs and increase efficiency. The company's technology has helped reduce the overall cost of each mu by about 200 yuan and increased production by 15% in the Tianjin Baodi Xiaozhan rice project.

Tianyun Data focuses on solutions in the banking and insurance fields. In the banking scenario, the service system provided by the company can not only query historical data more conveniently, but also assist banks in revolving loan marketing and identify foreign exchange settlement risks.

Through the banking scene, people can more intuitively feel the changes brought about by data. For example, people are increasingly fond of handling various businesses on their mobile phones, which has also led to an increasing amount of data accumulated in the banking system. In order to ensure the normal operation of the core data storage system, banks have to make trade-offs. Some data requires an appointment to retrieve and query. For example, historical transaction data over 5 years ago cannot be queried in real time.

In response to this, Tianyun Data has developed a historical data query system that supports high concurrency, omni-channel, and multi-dimensionality. It has an independent underlying Hubble database, and all data is stored separately, which improves query efficiency safely and efficiently.

Make data more useful

Although big data is widely used, it is undeniable that data is still expensive for many companies. How to split big data into "small packages" to make services more flexible is the direction that practitioners are working towards.

Shi Hu, Vice President of Yonghong Technology, introduced vividime BI, which is short for business intelligence. In the traditional analysis environment, customers have to start from defining business needs, building data warehouse models, constructing analysis topics, and building reports before they can use the reports. During this period, technical and business personnel need to work together, which not only has high deployment costs and long development cycles, but also has poor flexibility.

However, in the vividime BI environment, enterprises can directly connect to data sources, customize indicators and conduct exploratory analysis, and finally generate self-service reports or dashboards, allowing enterprises to flexibly customize according to their own needs. At the same time, vividime BI is more flexible in payment methods, reducing enterprise costs. Shi Hu introduced that one of Yonghong Technology's visions is "everyone can be a data analyst."

Borui Data focuses on how to make dormant data "live", which is inseparable from the concept and architecture of "lake warehouse integration". The so-called "data lake" refers to a large object-based repository that can store any type of data in its original format. These data do not need to be structured in advance when stored, but are left for further analysis and mining later. "Data warehouse" is a carefully designed data storage architecture used to store structured data and provide strategic support for issues of concern to enterprises.

Rapids Lizard, a one-stop data element platform launched by Borei Data, can achieve a seamless integration of data lakes and data warehouses. This integrated data architecture can not only process large-scale data, but also ensure the real-time and consistency of data, providing enterprises with a powerful data infrastructure.

Rapids Lizard also provides data service functions, allowing users to output processed and analyzed data as API services, helping companies build a more flexible and efficient data system. In general, the Borui Data Element Platform can be customized and developed according to corporate needs to ensure that the platform functions perfectly match the corporate business.

Li Yuanzhi, vice president of Borui Data, told the Beijing Business Daily that starting from 2020, "data intelligence" has been a very important proposition. Whether it is the "data weaving" advocated by the technical faction or the "data element X" proposed by the central government, they all demonstrate the importance of data itself and the complexity of data management. How to manage data resources more efficiently and drive data value is a question that every practitioner must think about.

The “foundation” is constantly being strengthened

Behind the innovation of the data economy is the continuous strengthening of the data foundation. If we look at the entire big data industry chain, the data collection, mining and sorting, and cloud platforms that the industry is currently focusing on are mostly concentrated in the midstream, while the role of upstream infrastructure cannot be ignored.

At the promotion meeting, Beijing Business Daily reporters learned how the current frontier intelligent computing center is exerting greater efficiency through technological changes. Taking the Broad Data Shenzhen Qianhai Intelligent Computing Center as an example, the center has core advantages such as high computing power, high energy efficiency, and high flexibility. From the perspective of computing power, the center can be planned to accommodate 15,000 cabinets, and the first phase of construction can support a computing power scale of 40,000P. In terms of energy efficiency, the company uses innovative cooling architecture and liquid cooling technology to efficiently support server equipment and improve the life and stability of equipment.

In terms of usage, Broad Data Intelligent Computing Center adopts a flexible modular design to adapt to flexible needs. At the same time, it uses AI to drive the automated management system, which can achieve real-time scheduling according to customer demands and meet the network access services of various types of users according to different industry attributes.

Beijing Business Daily reporters learned that data center construction and green energy are now running in parallel. For example, installing solar panels and wind power generation equipment at the data center can increase the proportion of green energy use and optimize the power supply system to reduce power loss. The liquid cooling technology that is being promoted can also more effectively remove heat and reduce energy consumption than traditional air cooling.

Industry insiders believe that the data center industry has now generally entered a mature stage, but the technical aspects need to be further refined. Judging from the development trend, the low-carbon and service-oriented characteristics will be further enhanced in the future, and the participating customer entities, capital, and models will also be more diverse. The powerful computing power demand brought about by AI has also allowed customers to gradually expand from the top Internet companies to the middle. Overall, the continuously consolidated data base continues to drive the structural transformation of various industries.

Beijing Business Daily reporter Tao Feng and Wang Zhuli

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