Interpretation of Germany's "big data"-intelligence data

Figure Intelligent Data integration in industry, transportation, energy, medical industry

Data has become one of the most important "raw materials" of the 21st century. Research predicts that the market for big global data will grow vigorously, with sales of the world's big data industry reaching more than € 15 billion in 2016, with Germany reaching € 1.6 billion.

In the context of the rapid development of large data, the German Ministry of Economics and Energy has launched a "smart data-innovation from data" project to support research and development of large data-related technologies in order to better develop the future market for large data in Germany. German IT companies, research institutions and large data-sector companies are gearing up to push Germany to become a leader in data management and analysis systems.

What does "intelligence data" mainly do?

Germany's development of large data technology is still largely in its infancy, and is now focused on specific areas such as network advertising and e-commerce for large enterprises. Because these existing solutions are highly practical in many aspects, especially data security and data quality, they can easily be extended to other areas of the economy.

The "Smart data" project in Germany has focused on innovative services, incorporating small and medium enterprises into their scope of action, encouraging them to develop, use attractive, secure and large data, and strive to develop creative systems solutions for small and medium-sized enterprises.

The German government will also improve the laws and regulations related to large data and the basic framework, and select typical projects in the fields of industry, transportation, energy and medical care to promote incubation to overcome institutional, technical and legal barriers to large data.

Ii. "Intelligence data" can produce synergy with projects such as Industry 4.0

The German "Smart data" technology project is closely focused on the goals set by its ICT strategy "digital Germany 2015", which is based on the "Internet Service for economic development" proposed in the High-tech Strategy 2020.

The project, which encompasses and concatenates important basic technologies and standards, lays a solid foundation for large data development, such as the "THESEUS", "Trusted Cloud", Industrial 4.0, electric cars and E-energy projects launched by the German Ministry of Economics and Energy.

"Smart data" will also have synergies with the "Big Data Management and analysis" project supported by the German Ministry of Education and Research.

Third, what is the reason for the rapid development of large data?

Large data is an inexorable trend in the development of information and communication technology, and the timely processing and analysis of large-scale and unstructured data is to make the data used for the economy, thus stimulating economic growth. The exponential growth of data in the world is the driving force for the development of this technology. It is predicted that by 2020, the global volume of large data will increase to 40ZB (1ZB=1024EB), the main reasons are as follows:

First, in recent years, the number, quality and frequency of digital services in the Internet, such as social networking, business-to-business or Business-to-consumer E-commerce, have increased dramatically. At the same time, the mobile Internet related service mode is developing rapidly, besides voice and data communication, the sensor in terminal equipment also has important effect on data explosion.

Secondly, the development of Internet of Things has also promoted the increase of data volume. More and more infrastructure, mechanical equipment and daily necessities have intelligent functions and access to the network, through sensors, RFID chips, cameras and so on, streets, lighting, industrial plants, electrical facilities, as well as household appliances, automobiles, product packaging are continuously producing constantly updated data.

Third, scientific experiments and theoretical research are also one of the causes of data explosion, especially in the field of natural technology and medical innovation. The vast amounts of data generated by these innovative processes will also be the driving force behind economic development.

What are the main areas of available large data technology?

Data is called the most important resource of the 21st century. From the data can extract a large number of important information, to obtain competitive advantage, to save resources, develop new products, create new models. It is noteworthy that large data due to large scale, data types and the diversification of data sources, resulting in traditional database systems, existing statistical methods, and visual applications can not be effective in the timely processing, data processing speed and quality are facing the test.

At present, the application of large data technology has made some progress in the following aspects:

1. Analysis and prediction: Comprehensive use of statistics, semantics, it and other disciplines of knowledge, never processed data, can filter out a lot of important business information, signals and models for predicting the future development trend.

2. Decision support and automation applications: based on data analysis methods, it can support the business process and decision-making process of the company, and even turn it into an automated process. An important one is the development of user-friendly visualization tools such as dashboards, navigation assistants, and so on.

V. German "Intelligence data" action is necessary

The necessity of the German "intelligence data" action is mainly embodied in three aspects: first, developing the business model, optimizing the development environment, and promoting the industrial development by data.

With the development and popularization of large data technology, people gradually realize that it is still facing some preconditions and challenges to improve the recognition of large data in the industry and the whole society. Specifically: First, there is a real demand for market space, the second is an effective business model, the third is accurate, safe and reliable data use environment.

1. Incorporation of SMEs into the context

Globally, it vendors and large enterprises have begun to take advantage of the economic potential of large data. Large data is also critical to the German economy, which is characterized by small and medium-sized enterprises. The German government wants small businesses, including start-ups, to tap into the potential of big data technologies. However, for SMEs themselves, it is difficult to use the special methods of data management and analysis involving large data, as the required computing systems are very expensive and SMEs are difficult to afford.

Therefore, small and medium-sized enterprises need practical and low-cost ICT products, at the same time need to develop targeted procedures and programs, so that large data technology can effectively adapt to the application of small and medium-sized enterprises.

2. Business model must be practical

In the business model, the project design must be operational and attractive to both the supplier and the user. For technology suppliers, there is still a lack of large-scale, inexpensive to provide large data services in the actual case. Taking cloud computing as an example, its hardware infrastructure, platform services and software services are provided on demand and are expensive. From the user's point of view, model development is relatively convenient, with large data can produce a variety of possibilities, both to optimize the existing business model, but also to develop a new business model.

3. Data security should be a guarantee for the development of "smart data"

When people accept the emerging business model that adapts to large data, the first consideration must be the data security problem. Therefore, data security technology (such as encryption, authentication, anonymity, etc.) in the "Smart data" project is particularly important, will be gradually merged into a part of the information and communication system. The application of sensitive data will be protected by the specific data protection method. In addition, the application of large data technology should be followed by other relevant legal provisions. Data as a trading commodity involves copyright issues, as well as contract law and guarantee law, as false data information can have serious economic consequences in practical work.

4. Intelligence data are of great importance in the fields of industry, transportation, energy, medical care, etc.

In the economic field, the "Smart data" project can further transform and upgrade traditional industries. In accordance with the requirements of German Industry 4.0, the future manufacturing will be based on the Internet and information technology, the distribution of elements will tend to network and intelligent, processing and manufacturing will tend to customization and personalization.

For the implementation of Industrial 4.0, industrial data is an important hand. Using industrial large data analysis, we can find out hidden problems and predict the occurrence of unknown situation, which will help to prevent and avoid faults and deviations in time. Take the machine tool as an example, through the sensor and large data analysis, before the failure, in advance to understand the machine tool which link may have problems, so as to do appropriate protection measures.