The era of big data has spawned a change in thinking

British professor Viktor Mayer Sch?nberg's book "The Age of Big Data: The Great Transformation of Life, Work and Thinking" has sparked a global buzz about big data. When many people still do not completely understand what IT is, the DT era has come. The "DT era" is in the ascendant, all walks of life in this piece of treasure, but there is no strong organization, there is no standardization of the rules of the game, due to the "big data" theory triggered by the heated debates and questioning are endless: how to formulate the rules of data transactions, How to ensure data security, data ethics bottom line? Industrial development cannot be separated from the theoretical support, when others are still pondering "what is big data", Guiyang has been exploring "how to do big data". For the exploration of Guiyang in the era of big data, the Internet industry bigwigs have their own views. Alibaba Group Chairman Jack Ma said, cloud computing, big data has now become synonymous with the development of science and technology, data is the core of driving business forward. In the opinion of Prof. Lian Yuming, director of the Data Strategy Key Laboratory, the establishment of Guiyang's first Big Data Strategy Key Laboratory is of great significance to the development of the big data industry. "Many places are talking about the data economy and the cloud computing industry, but Guizhou's courage and boldness to make such a big determination to work together, persistently and pragmatically with the Alibaba Group, and to explore the future together is worthy of admiration." Ma Yun said. According to Ma Yun, data is the core of driving business forward, but also the future of human society. The IT era, which started with control, is moving towards the DT (data technology) era, which aims to activate productivity, has become a trend. From an internal perspective, DT will change the way an organization communicates, produces and consumes, and drive changes in its structure and culture; from a cross-organizational point of view, as the "altruistic" thinking of the DT era replaces the "egoistic" thinking of the IT era, cooperation between organizations will be far greater than cooperation between organizations. From a cross-organizational perspective, as the "altruistic" mindset of the DT era replaces the "egoistic" mindset of the IT era, the cooperation between organizations will be far greater than the competition, and cross-organizational synergies will occur more frequently and become more and more agile and efficient. This is not only a technological upgrade, but also a huge change in ideology. Alibaba Group signed a comprehensive strategic cooperation agreement with the Guizhou Provincial Government on April 17, 2014, and one of the projects, "Guizhou on the Cloud," has already achieved some successes and has become a best practice for the government to operate cloud computing and big data. As an organization, the government is born to be an extremely important platform for data production and exchange. Data by itself does not create value, but only when more people analyze and use it can value be created exponentially. The continuous cheapening of information technology driven by Moore's Law, the popularization of the Internet and the ubiquitous application of information technology brought about by its extension have given rise to the arrival of the Big Data era, which in turn has led information technology to enter a stage of intelligence characterized by extensive data association, cross-domain fusion and in-depth application. In the current big data boom, related books and articles can be said to be a carload of *** knowledge and controversy *** exist. The book Block Data - A Sign of the True Arrival of the Big Data Era, however, looks at big data and its future development from the novel perspective of block data, which is quite creative and thought-provoking. According to Mei Hong, the division of "bar data" and "block data" is natural and captures the essence of data. From its definition and static point of view, "bar" is a field or industry within the depth of the collection of data, can reflect the law of the field or industry, undoubtedly has great value. The "block" is a collection of many "bar data" within a physical region or administrative division, which better reflects the extreme complexity of the real world and society, and its comprehensive application will undoubtedly bring about a significant increase in the value of data. From a dynamic perspective, the emphasis on "block data" is to avoid focusing only on "bar data" and may bring new data silos, but also reflects a kind of developmental thinking on the construction of information technology. "Moore's Law is the gene of the exponential society, big data is the protein of the exponential society." For this sentence, Wu Gansha believes that genes determine the characteristics of life and are the initial point, while proteins are the material basis of life and the main bearer of life activities. And big data is like the proteins in the body of life, which is the main bearer of life activities in the current society. For the opening of data, Wu Gansha believes that public **** data and scientific research data that do not involve individuals can be opened. Data involving individuals should be clear data ownership, privacy definition, obtain the authorization of the owner, the use of technology anonymization, and then consider opening up. The main feature of the current British and American openness is raw data (rather than refined data). In the eyes of Wu Gansha, Guiyang Citywide Wifi Coverage the advantage of collecting data is that there is information about the location where the data occurs, and this is an important factor in the context. He also pointed out that when submitting free Wifi services for users, it is necessary to explicitly obtain user authorization for data. For big data, cloud computing, mobile Internet, Internet of Things, Wu Gansha believes that these are not independently separable. As financial data and e-commerce data collide together, it produces the Internet finance like microfinance; telecom data and government data together, can produce demographic value, help the city planning for people to live, work, recreation places; logistics data and e-commerce data together, you can understand the operation of the various economic sub-areas; logistics data and financial data together, it produces supply chain finance and so on. Generated a supply chain finance and so on. Lian Yuming believes that the development of big data is an inevitable trend in the development of human civilization and the process of globalization, but also Guiyang to adhere to the development and ecological "two bottom lines", to explore the "win-win road" of the strategic choice for the less developed regions of the west to achieve a new path of catching up. Path, this is to recognize, adapt to and lead the new normal thinking change. In the face of new opportunities, new challenges, new tasks, Guiyang development of big data needs to be insight into the first opportunity to seize the high ground, but also the need for research first and strategic leadership. In this context, the emergence of the Big Data Strategy Key Laboratory is necessary. Lian Yuming pointed out that the Key Laboratory of Big Data Strategy is an interdisciplinary, professional, internationalized and open research platform. The laboratory will gather domestic and foreign professional researchers, managers and decision makers related to big data, based on the global big data development trend and China's big data development practice, focusing on the major theoretical and practical issues of big data development, and strengthening the overall, strategic and forward-looking research and consulting on the development of big data. Lian Yuming said that the future research direction of the Key Laboratory of Big Data Strategy is to carry out global, strategic and forward-looking research and consulting on the development of big data, which mainly includes the research on the development trend of big data, the construction of the theoretical model and application model of "block data", the establishment of the DT space, the compilation of the "Big Data Index", and the publication of the "Big Data Index". It mainly includes the study of big data development trend, construction of "block data" theoretical model and application model, establishment of DT space, research, compilation and release of "big data index" and preparation of a "China DT industry 50 people forum". Data silos are the biggest problem facing the development of the big data industry. On the one hand, all industries, enterprises and governments are doing their best to collect data, possess data and utilize data. On the other hand, most of the data is blocked by various industries, enterprises, organizations and governments, forming a "data island", which is unable to circulate freely and lacks connection between data. "And block data theory is of great significance to open up 'data silos'." Fu Zhihua believes that the proposal of block data, the greatest significance lies in the availability of a complete data source to understand the user in all aspects. "As with stir-fry, it is challenging for a chef to make a good dish by matching different ingredients if the dish is not rich enough." When it comes to data openness, Fu Zhihua believes that data openness and "data silos" are closely related. In order to solve the "data silos" must promote data openness, data openness can maximize the development of the data industry. "Data openness is often not a technical problem, from the national level to promote data openness is of great significance. At present, China's policies and regulations are not perfect, the lack of corresponding legislation on big data mining, can not both guarantee *** enjoy and prevent abuse, data openness and privacy how to balance is an urgent problem to be solved, to promote the full openness of the data, applications and *** enjoy at the same time to effectively protect the privacy of citizens and enterprises.

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