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2025-03-29 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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Now in China's big data market, dawning is one of the most cutting-edge companies in big data's industry. Different from the Internet giant and big data unicorn, dawning has inadvertently walked low-key on the road of big data for ten years, completing the process from groping, growth to transformation and leadership.
Back in 2009, dawning formally formed the big data team and released a massive data processing system DRAC, which embarked on big data's journey. Only a year ago, Hadoop officially became the top project of the Apache Foundation, marking the beginning of the global big data wave.
A layout ten years ago, it was dawn that gave birth to a dream about "data". Ten years later, big data's industry is changing with each passing day, and the dawn does not change its original mind. when big data's industry application enters the deep water area, dawning sets out again with the "1x 4N" intelligent engine to work with partners to promote the digital upgrading of industry users in all directions.
Dawning big data's decade began with the establishment of the big data team in 2009, dawning officially released big data's product XData in 2012, and successfully settled in hundreds of users; in 2013, dawning successfully developed an EB-level data storage system, which has the largest single capacity in China; in 2015, dawning officially launched the "data China" strategy and began to fully layout big data's business; in 2016, dawning released the "data China acceleration Plan". In 2017, dawning released the "data China Intelligence Plan" and was approved to build big data Analytical system National Engineering Lab; in 2018, dawning won the first performance / price ratio in the TPC-BB global big data standard test.
Dawn big data's ten years can be said to have witnessed the whole process of China's big data industry from scratch, from germination to rise.
In fact, the decade from 2009 to 2019 is also a decade from the start to the rapid growth of China's industrial digitization. As Yuval Herrari said in A brief History of the Future: data will become people's belief in the future. In the past decade, the recognition of data and its value by enterprises and organizations in most industries in China has increased rapidly. It is even generally believed that data is becoming a new type of means of production and will be an indispensable element in the business operation of enterprises / organizations in the future. in the future, the products, services, processes and even business models of enterprises are being reconstructed around data.
"big data industry has maintained rapid growth in the past two years, with an annual growth rate of more than 20%. However, it is also obvious that big data's industry is emerging from emptiness to reality, from high-speed to high-quality, and the deep integration of big data and the real economy is accelerating." Song Huaming, chief scientist of dawning big data, said.
Song Huaiming, chief scientist of dawning big data
After ten years of construction, big data's infrastructure is constantly improving, and the continuous improvement of the digital degree of the industry has made the digital environment of industry users change day by day, close to the completion of the "primitive accumulation" of data. More agile, smarter, more integrated, more secure data analysis and intelligent tools will become the main needs of enterprises and organizations.
Song Huaiming said bluntly that at this stage of the development of big data industry, the basic conditions have completed the initial storage, the capabilities of data collection, storage and processing have been continuously improved, and big data's platform will develop in the direction of standardization and integration. while data will be more easily integrated, sharing and comprehensive management, big data application will accelerate to intelligent and ecological.
The reason why big data application, big data's intelligent engine, has entered the deep water area of industry applications is that after years of digitization, various industries have begun to change the process from "accumulating data" to "using live data". However, this process still faces many typical challenges, such as the establishment of a more perfect data asset system, the lack of intelligent applications, the challenges of the integration of many new technologies, and so on.
Because of this, dawning is committed to creating a "smart engine" of the digital age, and continuing to help customers achieve the landing of data value. The so-called "1" is to create a big data platform; "4" combines its own advantages of big data to focus on the four core competencies of "agility, intelligence, integration and security"; "N" means to build N industry solutions with ecological partners to promote the landing of data value in all industries.
In fact, big data platform is considered to be the cornerstone of enterprise digital transformation and intelligence. Dawning has been committed to making the cornerstone of big data platform more solid, reliable and strong in the past decade. It is obvious that dawning hopes that its big data platform can more automatically and intelligently complete the work of full data link, such as data access, cleaning, processing and integration, to help enterprises build a unified data standard, digital asset management system and perfect data ecology. The above is closely integrated with industry applications, precipitating dawning big data's experience in the industry for more than a decade, and deriving a series of intelligent services, including modeling factory, SAI video intelligent service, Skynet knowledge graph analysis, and so on.
"through the big data platform, users' work in the data processing layer, including collection, integration, analysis, visualization, sharing and exchange, will be very easy. In the face of the application-oriented trend of big data system, we have also precipitated the experience of the front-line industry, such as in the public security and transportation industry, the valuable experience of first-line highway policing has been precipitated through the model, and other traffic police officers and policemen can be served directly with intelligent applications." Dawning big data and Guo Qing, deputy general manager of the Innovation Division, said.
Dawning big data and Guo Qing, Deputy General Manager of Innovation Division
Dawning is bluntly saying that there is still a certain difference between its big data platform and the data center. In fact, the data center has become a hot word in recent years, which has been repeatedly mentioned by Internet companies and users in various industries, and is regarded as an indispensable module in the construction of enterprise digital transformation. In this regard, Guo Qing believes that digital mid-platform must be the development trend in the future, but it is more like something at the solution level rather than a standardized product. "dawning hopes to consolidate the various capabilities of big data platform and solve some problems in data platform construction through big data platform, which is the orientation of dawning big data platform in data platform."
After more than 10 years of big data industry practice and painstaking research and development, dawning big data has formed four core competencies of agility, intelligence, integration and security. In terms of agility, dawning big data has the ability of super-large-scale cluster processing, can complete trillions of data real-time processing, and supports one-stop big data development and integrated software and hardware delivery; at the intelligent level, it integrates a variety of computing frameworks such as deep learning, precipitates a rich library of actual combat model algorithms, and realizes guided self-service model training. Dawning big data also has strong fusion capabilities, realizing data fusion, resource fusion and service fusion, such as multi-source heterogeneous perceptual data activation and multi-mode high-dynamic data cognition at the data fusion level; in addition, dawning big data also has comprehensive security capabilities, from chip-level security reinforced device security to data security and service security, building a secure and reliable big data platform for users.
In the business pattern created by dawning, 1 and 4 are products or capabilities that are closely related to themselves, and N plays a very important role in the dawning intelligence engine. It represents dawning's hope to work with ecological partners to build N industry solutions to drive the landing of data value in the big data application layer.
Conquering the value of the data in the deep water area N represents a variable, and the number of N may be large or small. According to Dawn, Dawn hopes to make 1 and 4 better and better, build products and capabilities strong enough, and further, with an open and cooperative attitude, join hands with the majority of industry partners to create more and more industry landing solutions. make N bigger and stronger.
"entering the deep-water stage of big data's application, dawning will work together with ecological partners to form a community with complementary advantages to help customers achieve omni-directional, multi-angle and full-chain digital upgrading from the three levels of technology improvement, application optimization and business innovation." That's what Song Huaiming said.
As we all know, big data application is usually closely related to the business of the industry where the application is located. There are great differences in business between different industries, and even differences in the understanding and application of data among different users in the same industry. This determines that after big data's application enters the deep water area, it is necessary to achieve the landing of big data's application by means of association and cooperation.
Therefore, dawning is speeding up the ecological construction and growth of big data. Taking the open urban cloud data platform as an example, dawning has built more than 40 + urban cloud centers to provide intelligent cloud brains for urban management, and has joined hands with more than 300 partners to form 4 ecological alliances to create more than 1000 government and intelligent applications. In addition, dawning artificial intelligence public service platform provides platform resource support for regional start-ups, scientific research institutes and enterprise users Application demand-driven innovation, tailored data intelligent solutions for the industry.
"in the future, dawning hopes to create big data's wisdom engine, which will make it more convenient for partners to incubate more big data applications, help customers open up new routes in the digital transformation, cross deep waters smoothly and quickly, and achieve great value discovery." Song Huaiming said at last.
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