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Beijing, December 11th, 2015/PRNewswire/-On December 10th, 2015, as the largest and most influential IT event in the field of big data, the 2015 China Big Data Technology Conference (BDTC 2015) was grandly opened in Crowne Plaza Beijing New Yunnan. Cheng Xueqi, Secretary-General of CCF Big Data Expert Committee and researcher of Institute of Computing, Chinese Academy of Sciences, delivered an opening speech on behalf of the organizer and organizer. The conference lasted for three days. With a more international vision, it discussed the challenges of big data from the perspectives of policies and regulations, technical practice and industrial application. As an important platform for close cooperation between the big data industry, scientific and technological circles and government departments, this conference attracted thousands of big data technology enthusiasts to attend the conference.

The 2015 China Big Data Technology Conference was hosted by china computer federation (CCF), hosted by CCF Big Data Expert Committee, and co-organized by Institute of Computing Technology of Chinese Academy of Sciences, Beijing Zhongke Tianji Technology Co., Ltd. and CSDN. The theme of this conference is "Data Security, Deep Analysis and Industry Application", which covers the latest developments of open source software such as Hadoop, YARN, Spark, HBase, Kudu and PostgreSQL-X2, as well as the latest application cases of memory computing, visualization under big data, machine learning/deep learning, business intelligence and data analysis.

2015 China Big Data Technology Conference

In recent years, big data has become a basic strategic resource at the national level, which is increasingly having an important impact on global production, circulation, distribution, consumption activities, economic operation mechanism, social lifestyle and national governance capacity. Promoting the development of big data has become the consensus of the international community. In particular, the "Action Program for Promoting the Development of Big Data" issued by the State Council in August this year clearly stated that it is necessary to comprehensively promote the development and application of big data in China and accelerate the construction of a data power. In this context, it is more timely and necessary to hold the China Big Data Technology Conference to promote the promotion and typical application demonstration of new technologies related to big data.

In order to better discuss the status quo and development trend of the big data technology ecosystem, exchange practical experience of big data technology, further promote the innovation and application of big data technology, and show the latest achievements in the field of big data at home and abroad, this conference is outside the plenary session.Also set up“Policies, regulations and standardization"、“Big data infrastructure"、“database"、“Deep learning"、“Financial big data"、“Industrial and manufacturing big data"、“Data markets and transactions"、“Medical health and biological big data"、“Network and communication big data"、“Big data analysis and ecosystem"、“Recommendation system"、“Big data security"、“Traffic and Tourism Big Data"、“Internet big data"、“Education big data"、“Social governance big data"wait for16 sub-forums, covering newer technical practices and popular industry applications in the field of big data.

2015 China Big Data Technology Conference

Keep up with the forefront and comprehensively analyze the ecological evolution of open source big data

In recent years, big data technology has been put into practice in the Internet, operators, IT service providers and many traditional enterprises. In the keynote speech session of the plenary session, top experts and scholars at home and abroad will discuss the current situation and development trend of the data technology ecosystem in depth.

Among them, Pan Zhuting, deputy secretary general of CCF Big Data Expert Committee and vice president of Venus Star Company, made the latest interpretation of the development trend of big data technology in 2016; Wang Jian, CTO of Alibaba Group, conducted in-depth discussions on the Internet, data and computing; Gao Wen, an academician of China Academy of Engineering, focuses on the field of multimedia big data analysis and search; Fan Ji ‘an, Deputy General Manager and Chief Architect of Information and E-commerce Division of China Unicom Group Company, brought the application and practice sharing of big data in the field of network and communication; Aiming at the big data platform needed for future business innovation, experts from Huawei and IBM demonstrated their relatively new technological achievements in innovation practice.

In addition, in view of Apache Spark, an open source big data computing framework that attracts more attention in the industry, this conference invited co-founder of Databricks, chief architect of Apache Spark, and Apache Spark PMC to share Spark’s latest Roadmap in 2016. It is worth mentioning that this year coincides with the 50th anniversary of the birth of the database. At present, the demand for high throughput has brought severe challenges to the traditional database. Therefore, this conference specially invited Liu Haifeng, chief architect of jingdong cloud Platform and head of system technology department, Sun Yuanhao, founder and CTO of Xinghuan Technology, PMC members of Hadoop, HBase and Thrift projects, and Todd Lipcon, inventors of Committer and Kudu, to have in-depth discussions on the database in the new era.

At the same time, in the main session of the conference, we also had the honor to invite Sun Shaoling, assistant general manager and CTO of China Mobile Suzhou R&D Center, Jiao Lieyan, CTO of Puyuan Information Technology Co., Ltd., and Jin Rong, a tenured professor of Michigan State University, respectively, to comprehensively analyze the evolution of open source big data ecosystem from their own practices.

Top left: Cheng Xueqi-Secretary General of -CCF Big Data Expert Committee, researcher of Institute of Computing, Chinese Academy of Sciences; Top right: Gao Wen-Academician of China Academy of Engineering; Bottom left: Deputy Director of Zhang Xiaodong -CCF Big Data Expert Committee and Professor of Ohio State University; Bottom right: Pan Zhuting-Deputy Secretary-General of -CCF Big Data Expert Committee and Vice President of Venus Star Company.

Highlight data security and deeply analyze big data for Industry-University-Research.

No matter whether it is an enterprise or an organization, there is no doubt about the value of big data. In the era of big data, data security has always attracted much attention. How to tap the value of data has become a problem that enterprises and organizations must solve on the premise of paying attention to data security. At this conference, the organizing Committee of the conference specially opened a data security forum and invited technical experts from top Internet companies to deeply analyze big data security issues. For example, Zheng Bin, director of Ali Data Security Group of Alibaba Data Security Department, set the topic of his speech as "Data Security under Big Data"; Li Xuyang, assistant general manager of Tencent’s security cloud department, will share how to use big data to combat social worker fraud; Zhang Zhuo, senior technical manager of Qihoo 360, will discuss how data drives security; Gao Jiafeng, a big data analysis and mining engineer of China Mobile Software, mainly gave a speech to explain the research practice of telecom operators’ information security algorithms from a technical point of view. In addition, there are leaders or CTO from companies such as Mingluo Data, Digital America Company and Venus Star who have in-depth discussions on the challenges of data security in the field of big data. It is not difficult to see that this conference has raised the security issue to a new height. Under the background that big data is gradually landing and its value is gradually being tapped, the discussion on security in this conference will definitely point out the direction for the healthy development of big data technology.

At the same time, this conference will highlight in-depth analysis. As the practice of data mining in enterprises tends to deepen, the challenges after the landing of big data are gradually highlighted. Therefore, at this conference, both the Top Ten Development Trends of Big Data in 2016, which was attended by more than 100 experts from CCF Big Data Expert Committee, and the 2015 China Big Data Technology and Industry Development Report, which included many chapters such as China’s open sharing of big data and China’s industrial big data, deeply summarized the big data Industry-University-Research of major enterprises. Of course, in addition, in terms of policies and regulations, industry applications, big data infrastructure, big data ecosystem, artificial intelligence and deep learning, Internet big data, etc., the conference will focus on related technologies, hot industries and industry applications in the big data ecosystem, and invite top experts to conduct comprehensive analysis and in-depth discussion.

In-depth vertical industry application and discussion on enterprise big data practice

Big data is no longer an empty slogan. If there is a keyword in this conference, it must be "application". At BDTC 2015, the organizers set up application sub-forums for medical care, transportation, education, finance, communication, manufacturing, social governance and other industries, and dozens of experts will share valuable application experiences of various vertical industries for the participants. For example, Peng Shaoliang, a researcher from the Institute of Software, School of Computer Science, National University of Defense Technology, will bring us biomedical big data research on Tianhe supercomputer at the medical health and biological big data forum; In the traffic and tourism big data sub-forum, Li Si, the chief architect of Shenzhou special vehicle, will analyze their spatio-temporal data processing practice; At the Network and Communication Big Data Forum, Zeng Jia, a senior researcher at Huawei Noah’s Ark Lab, will discuss the key technical challenges of telecom big data; At the Financial Big Data Forum, the report direction of Qi Yuan, vice president and chief data scientist of Ant Financial Services Group, was set in the practice of Ant Financial Services in big data and artificial intelligence; At the big data sub-forum of industry and manufacturing, Guo Zhaohui, chief researcher and professor-level senior engineer of Baosteel Research Institute, will discuss how to make demand drive industrial big data; In the social governance big data sub-forum, Mei Jianming, a professor at the People’s Public Security University of China and director of the Anti-Terrorism Research Center of the Dean of the Anti-Terrorism Institute, will discuss topics such as big data and the prevention of terrorism. It can be said that this year’s Big Data Conference will include all industries involved in the application of big data technology, and invite many domestic and foreign experts such as academia, industry and government departments, from different angles.Systematically analyze the application status, challenges, solutions and development trend of big data.

Pay attention to new fields and technologies and seize the commanding heights of the next wave of science and technology.

Previous China Big Data Technology Conferences have never lacked attention to new technologies and trends. Since the beginning of this year, artificial intelligence has developed rapidly and has broad prospects, and it is considered as the next wave of technology after cloud computing. As an indispensable key technical link of artificial intelligence, with the realization of various distributed algorithms, various excellent big data computing frameworks are open source, and deep learning is welcoming a high-speed development period. A deep learning sub-forum was specially set up at this conference. The organizers invited Yu Yinan, a senior engineer of Horizon Robotics, Yan Zhijie, a senior expert of iDST voice group of Alibaba, Hong Chuntao, a researcher of Microsoft Research Asia, Bai Xiang, a professor of Huazhong University of Science and Technology, and Ji Rongrong, a professor of Xiamen University, to combine academic and practical applications to bring a feast about deep learning. In addition, in the recommendation system sub-forum, there are also technical experts from Baidu, JD.COM, Sina, freeWheel and Hunting Network who will bring the practice of recommendation system based on big data technology. Whether it is artificial intelligence, deep learning or recommendation system, the organizers of the conference are striving to provide participants with cutting-edge technology sharing, grasp the latest technology trends and fully seize the commanding heights of a new wave of science and technology from the perspective of high level, high specification and high quality.

In the era of big data, Internet companies have mastered the cutting-edge technology of big data technology. At the "Internet Big Data Sub-forum" of this conference, you will see the latest practices of a large number of well-known Internet organizations, including: Internet Machine Translation by He Zhongjun, chief architect of Baidu and head of machine translation technology; Realization and Application of JD.COM Real-time Data Platform by Liu Yanwei, head of big data R&D department of JD.COM Mall; Big Data Challenge of Mobile Travel by Liu Wei, senior R&D director of Didi Machine Learning Research Institute. Internet Analysis Engine in the Age of Big Data by Dou Zhicheng, Associate Professor of Renmin University of China; Mining Gold Mine in User Behavior Big Data by Huang Yongjian, Vice President of GDSC; Big Data —— Engine of Government Development in the Internet Age by Liu Ruibao, Vice President of Beijing Tulsi Information Technology Co., Ltd.; Application of Government Big Data in Credit Information Field by Zeng Yuan, co-founder and COO of Weizhong Tax Bank, etc.

In addition, during the conference, the organizing committee set up various communication links and places that are convenient for interaction and socialization, and after each wonderful speech, questions and discussions can be conducted in depth. At the same time, after eight sessions, BDTC continues to fulfill its high-standard commitments. As a new starting point for the deep integration of big data technology and application, BDTC 2015 will become an indispensable platform for close cooperation between industry, science and technology and government departments, and make important contributions to promoting the political and Industry-University-Research use of big data in China.

　　The main consumer is "eating goods"

　　Eighty percent of imported goods are "face" goods.

　　What are the neighbors, distant relatives and friends buying in this "double 11"? You can know a thing or two by looking at the stock in the warehouse. According to the big data forecast, the warehouse has assembled the goods that consumers are most likely to buy, just waiting for the "double 11" bell to ring.

　　According to statistics, the stocking volume of this year’s Tmall "double 11" reached a new high. Among them, in the rookie domestic warehouse distribution network, the goods to be sold in Tmall during the period involve tens of thousands of brands, adding them up, weighing more than 3 million tons, equivalent to 64 aircraft carriers. If these goods are piled up, even if all the high-speed trains in the country are stuffed, it will take 12 days to transport them.

　　What accounts for the most of these goods? According to the forecast of stocking quantity, "eating goods" is the absolute main force of Tmall "double 11". According to the rookie, the nut snacks with the highest stocking amount can add up to enough for a city to eat together for a week. The wine prepared for Tmall double 11 in the rookie warehouse can make a large table of people drink for 700 years.

　　According to Tmall, women’s wear, beauty and skin care, mobile phones and other categories have topped the list for many years in a row, and the "100 million club" brand is often born in these fields.

　　The data also shows that major cities have different shopping preferences. In Beijing, Guangzhou, Shenzhen, Hangzhou and other cities, cleaning supplies such as paper towels are more stocked; The razor is the most stocked for Shanghai residents in the warehouse; The biggest demand for stocking in Xi ‘an is anti-hair loss shampoo.

　　At present, the number of masks in the warehouse is amazing, and the stock is enough for everyone in the mask-consuming countries to apply it three times. According to the rookie, more than one million square meters of bonded warehouses have been prepared at 10 ports across the country. Among the "double 11" imported goods stocked in the bonded warehouse, the top ones are facial mask, diapers, facial essence, facial care, facial cleaning, milk powder, makeup remover, cosmetic water, cosmetic tools and shampoo, of which 80% are related to "face". It can be seen that consumers’ demand for Yan value is still very high.

　　In the rookie’s 14 global order fulfillment centers, from health products to shoes and clothes, from online celebrity curling irons to cream, all the good goods from all over the world have been assembled and will be sent to China by special plane on the day of "double 11". In addition, during the "double 11" this year, South African handicrafts and other special commodities will be sold in double 11 through the Tmall import platform.

　　China goods are also being purchased by foreign friends. At present, the rookie’s overseas warehouses in Moscow, Paris, Madrid and other places have entered the peak of stocking, and China explosives such as Xiaomi and Huawei, which are loved by overseas consumers, are close at hand. Yin Chengyue J241

　　When is "double 11" the most lively?

　　"Chopper Party" loves zero to one.

　　Put the selected goods into the shopping cart before zero, and place an order for payment immediately after zero until the wish list is completed … … Every late-night "chop hands" probably spent their "double 11" in this way.

　　On the occasion of the 10th Tmall "double 11", Ali Data released a set of transaction changes over the years: on the day of "double 11", the fighting capacity of the pickpocket party often broke out after 12 o’clock. Especially since 2012, in terms of the cumulative number of orders per hour, the number of orders between 0: 00 and 1: 00 am is the highest in a day, and more and more consumers have to take their favorite goods in the first time.

　　Who are the buyers who place crazy orders in the early hours of the morning? The data shows that users under 35 are the main force of "hands-on". In the past ten years, the most stable "chop hands" group is concentrated between the ages of 25 and 36. Every year in double 11, the proportion of buyers in this age group is the highest. At the same time, the number of young buyers under the age of 25 is increasing year by year. Taking 2017 as an example, users aged 26 to 35 accounted for about 40% of the total number of transactions, and users under the age of 25 accounted for about 32%. Yin chengyue

　　BEIJING, April 29 (Xinhua) According to the website of the State Administration of Taxation, recently, the State Taxation Administration of The People’s Republic of China Committee of the Communist Party of China and the Discipline Inspection and Supervision Team of the State Commission for Discipline Inspection in State Taxation Administration of The People’s Republic of China informed the tax system of six typical spiritual problems that violated the eight central regulations.

　　1. Xu Faqiang, member of the Party Committee and deputy director of the Taxation Bureau of zhongwei City, State Taxation Administration of The People’s Republic of China, received a total of RMB 5,000 from the management clients in violation of regulations, and was given a warning by the party.

　　2. Li Lingqing, Secretary of the Party Committee and Director of the Taxation Bureau of Guilin Foreign Economic Development Zone, Haikou, State Taxation Administration of The People’s Republic of China, illegally accepted gifts from management clients, and had other disciplinary problems, and was severely warned by the party and given a heavier administrative record.

　　3. Peng Nianhui, former director of the Inspection Bureau of Zunyi City, State Taxation Administration of The People’s Republic of China, has repeatedly accepted gifts from management clients, illegally accepted banquets and tourism activities arranged by management clients, and has other violations of discipline and law and suspected crimes, and was expelled from the party and dismissed from public office; Gong Guangyi, the former Party Secretary and Director of the Taxation Bureau of Zunyi Economic and Technological Development Zone in State Taxation Administration of The People’s Republic of China, received gifts from the management clients, with a total value of 25,600 yuan, and there were other violations of discipline and law. He was dismissed from his post in the Party and demoted from his post.

　　4. Zhang Benquan, deputy director of the Inspection Bureau of the Taxation Bureau of Leshan City, State Taxation Administration of The People’s Republic of China, illegally accepted gifts and gifts from management clients, with a total value of 17,000 yuan, which was severely punished by the party; Huang Zhiwei, an employee of the Central District Taxation Bureau of Leshan City, State Taxation Administration of The People’s Republic of China, received a total of RMB 4,400 from the management clients in violation of regulations, and was given a warning by the Party.

　　5. Zhang Jingdong, director of the First Branch of Anqing Taxation Bureau, State Taxation Administration of The People’s Republic of China, illegally accepted a banquet hosted by the management clients, with a total meal fee of 4,866 yuan, which was severely punished by the party.

　　6. Shi Lei, deputy director of Shiqiao Taxation Branch of Linying County Taxation Bureau of State Taxation Administration of The People’s Republic of China, organized a wedding banquet for his granddaughter’s birth in violation of regulations, and took the opportunity to receive a gift of RMB 14,500 from the management clients, which was severely punished by the party.

　　The circular pointed out that the above-mentioned six violations of discipline and discipline reflected that under the new situation of comprehensively and strictly administering the Party in depth, there were still a few party member cadres who were lucky enough to relax their requirements and went their own way. With the May Day and Dragon Boat Festival approaching in 2020, the party committees of tax bureaus at all levels should earnestly shoulder the main responsibility and resolutely implement the spirit of the eight central regulations and their implementation rules; Discipline inspection institutions at all levels of the tax system should strengthen supervision and inspection, strictly investigate and deal with the problem of violation of discipline against the wind, and never tolerate it, so as to create a good atmosphere of cleanliness and integrity.

　　Beijing, January 4 (Reporter Li Jinlei) In 2018, the work of benefiting people’s livelihood will continue to advance. Among them, five insurances and one gold, which are closely related to ordinary people, will usher in at least five major changes, which will have a beneficial impact on your income and life.

　　Change 1: the first step of the national overall planning of endowment insurance

　　The National Conference on Human Resources and Social Security held recently proposed that in 2018, the universal enrollment plan should be fully implemented. Implement the central adjustment system for basic old-age insurance funds.

　　The central adjustment system of the basic old-age insurance fund is the first step taken by the national overall planning of old-age insurance. According to the Ministry of Human Resources and Social Security, this will balance the burden of old-age insurance caused by the large difference in dependency ratio between regions due to population structure, especially population mobility, adjust the surplus and deficiency, and further play the role of mutual assistance and mutual assistance of old-age insurance nationwide.

　　"China’s regional development is very uneven, and the degree of aging is very different. Heilongjiang is the most difficult province to pay for the basic old-age insurance fund at present, with a dependency ratio of 1:3, while the highest in Guangdong is 9:1." Yin Weimin, Minister of Human Resources and Social Security, said earlier that the current balance of the basic old-age insurance fund is about 400 billion yuan each year, with a cumulative balance of more than 4 trillion yuan, which can support the distribution for 16 months. The implementation of national overall planning is to solve the imbalance between provinces.

　　Change 2: It is planned to pay pension and medical insurance for the unemployed.

　　The national conference on human resources and social security proposed to continue to extend the policy of reducing social insurance rates in stages for one year. Do a good job in the revision and implementation of unemployment insurance regulations.

　　In November 2017, the Ministry of Human Resources and Social Security publicly solicited opinions on the Unemployment Insurance Regulations (Revised Draft for Comment). Compared with the current regulations, in the opinion draft, the basic old-age insurance premium, vocational skill appraisal subsidy and entrepreneurship subsidy for the unemployed are added, and the medical subsidy is adjusted to pay the basic medical insurance premium.

　　The Ministry of Human Resources and Social Security pointed out that the payment of basic old-age insurance premiums has solved the problem of the interruption of the payment of old-age insurance for the unemployed and relieved the worries of the unemployed. Paying the basic medical insurance premium ensures that the unemployed enjoy medical insurance benefits, and solves the problem of "getting medical care for the sick" during the period when the unemployed receive the payment.

　　Change 3: You may increase a retirement income.

　　Since February 1, 2018, the "Enterprise Annuity Measures" will be officially implemented. Enterprise annuity is a supplementary old-age insurance system independently established by enterprises and their employees through collective consultation on the basis of participating in the basic old-age insurance according to law, and it is an important part of the second pillar of China’s multi-level old-age insurance system.

　　According to the regulations, the expenses required for enterprise annuities are jointly paid by enterprises and individual employees. The enterprise payment shall not exceed 8% of the total wages of the employees of the enterprise every year.

　　By the end of 2016, 76,000 enterprises had established enterprise annuities nationwide, with 23.25 million employees and accumulated funds of 1.1 trillion yuan. According to the Ministry of Human Resources and Social Security, employees’ participation in enterprise annuities is conducive to adding a pension accumulation on the basis of basic old-age insurance, and further improving the income level and quality of life after retirement.

　　Change 4: Some state-owned assets will continue to enrich the social security fund.

　　According to the Implementation Plan of Transferring Part of State-owned Capital to Enrich Social Security Fund published by the State Council, it is clear that the transfer ratio is unified to 10% of the state-owned shares of enterprises.

　　The plan requires that some central enterprises and some provinces be selected for pilot projects in 2017. On the basis of summarizing the pilot experience, in 2018 and beyond, the state-owned shares of other qualified central management enterprises, enterprises run by central administrative institutions and central financial institutions will be transferred in batches, and the transfer will be completed as soon as possible.

　　Zhang Yinghua, executive researcher of the World Social Security Research Center of China Academy of Social Sciences, told the reporter of Zhongxin.com that with the "blood transfusion" of the social security fund, the problem of pension gap will be alleviated, and the gap will not be transferred to the next generation, so as to realize intergenerational equity, and at the same time, it will help to ensure the timely and full payment of pensions and resolve the impact of the aging population on the old-age insurance system.

　　Change 5: It will be easier to buy a house with a housing provident fund loan.

　　Housing accumulation fund can effectively reduce the burden of employees buying houses. According to estimates, a personal housing loan with a quota of 1 million yuan and a term of 20 years can save more than 200,000 yuan in interest expenses than a personal housing loan from a commercial bank. Recently, however, some real estate development enterprises refused to let buyers use housing provident fund loans, which seriously damaged the legitimate rights and interests of paid employees.

　　To this end, the Ministry of Housing and Urban-Rural Development and other departments recently jointly issued the Notice on Safeguarding the Rights and Interests of Employees’ Housing Provident Fund Loans, requiring real estate development enterprises not to restrict, obstruct or refuse buyers to use housing provident fund loans by raising housing sales prices or reducing price discounts, and not to require buyers to sign a written document voluntarily giving up their housing provident fund loan rights.

　　The "Notice" clarifies that paid employees can complain and report the refusal of housing provident fund loans by real estate development enterprises and housing sales intermediaries through channels such as the 12345 citizen hotline and the 12329 housing provident fund service hotline.

　　With the implementation of these regulatory measures, it is expected that it will be easier for employees to buy houses with housing provident fund loans, and they will be able to really enjoy the benefits brought by housing provident fund. (End)