2014 China Large Data technology conference successfully ended

December 2014 12-14th, as the most influential and largest it event in the field of data--2014 China large Data technology conference and the second CCF large data academic conference in Beijing new Yunnan Crowne Plaza Hotel successfully ended. The conference lasted three days, with an international perspective, the paper shares the development trend of large data technology at home and abroad, and probes into the application and practical experience of "large data ecosystem", "Big Data Technology", "large Data Application" and "large data infrastructure" from the angle of technology and practice, and through innovative competitions and training courses Decryption Big data business hot spot, share the industry actual combat experience. 2014 China Large data Technology conference has become a new starting point for the combination of large data technology and application, and the new platform of close cooperation between industry, Scientific technology and government department has made great contribution to promoting the research and production of large data in our country.

2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014) The conference was hosted by the China Computer Society (CCF), CCF Large Data Committee of experts, and the Chinese Academy of Sciences and CSDN co-organizer, To promote large data research, application and industrial development as the main thrust. At the same time, sponsored by the China Computer Society, CCF large data expert committee, Nanjing University and the "2014 second CCF large data conference" held in conjunction with Fudan, and shared the theme report with the technical Conference.

In order to better discuss the present situation and development trend of large data technology ecosystem, exchange large data technology practical experience, further promote the large data technology innovation and application, display the newest achievement of large data field at home and abroad, BDTC 2014 invited nearly hundred from the global big data industry renowned scholar, enterprise leader personage, profession senior expert , the first line of practical technology representatives, covering Hadoop, YARN, Spark, Tez, HBase, Kafka, oceanbase and other open source software development, Nosql/newsql, memory calculation, flow calculation and graph computing technology trends, OpenStack Ecosystem for large data computing needs, as well as large data visualization, machine learning/depth learning, business intelligence, data analysis, the latest industry applications.

As China's largest data field of the most valuable it event, after seven of precipitation, China's large data technology conference has become China's most influential, the largest and most of the number of participants in the large data field technology event. The China Large data Technology Congress is of great significance to the development and advancement of the industry.

In recent years, both domestic and foreign internet companies and traditional enterprises have realized the potential price of data securitization and scale

Value, how to store and process hundreds of TB and even EB-level data at low cost and efficiently is a great challenge. "To value the data" makes almost every industry facing big data problems. "Big Data" sparked a new round of it "industrial revolution".

2014, large data technology has been in the Internet, operators, IT service providers, as well as many traditional enterprises in practice. At home and abroad, top experts and scholars have discussed the present situation and development trend of large data technology ecosystem and the practical experience of landing in the whole conference.

Among them, the father of Hadoop, Doug Cutting, Cloudera's chief architect, shared the data revolution of the new era; the global senior manager of AWS Large data and High-performance computing frameworks, Ben Butler, Li Yonghui, an outstanding engineer at IBM Greater China System and Technology Division, Professor Zhang Hui,university of computer Science, Carnegie Mellon University, professor of electronic and computer engineering, computer system architecture and parallel Systems Laboratory director Gao Guangrong, Professor, Carnegie Mellon University , ICML2014, President Eric P. Xing,conviva, co-founder and CEO, Sabri Skhiri,hbase Core contributor to research center Yu brings the latest international technical ideas and practical experience.

Baidu Research Institute deputy Dean, depth study laboratory director, image Search Department senior director Yukei share "large data AI", Star Ring technology CTO Sun Yuanhao Declassified "2015 Large data basic technology evolution trend", Wave Group senior vice president Wang Endong about "Big Data open industry application New Wave", Changling, general manager of the large data products Department of China Mobile Suzhou Research and Development Center, analyzes the "large data business model of telecom Operators", then discusses the present situation and development trend of large data ecosystem, and shares the experience of mainstream practical technology.

Four technical forums around "large data ecosystems, large data technologies, large data applications, large data infrastructures" from the Hadoop PMC, OpenStack Foundation, Databricks, LinkedIn, Intel, EBay, Dropbox, VMWare, DELL, Seagate, Alibaba, Tencent, Baidu, China Mobile, Huawei, Wave, Sohu, NetEase, Ctrip, Gold, Wal-Mart, Asiainfo, and other first-line IT companies at home and abroad, nearly hundred engineers elite, from the reality of the thorough analysis of large data technology practice problems and solutions.

Large data ecosystems map development. Gathered databricks, the Ohio State University, Huawei, Hadoop/tez PMC, Intel, OpenStack Foundation, China Mobile, LinkedIn, Alibaba and other 10-odd institutions of front-line experts to study today's large data ecological field of hot technology and practice. Among them, forum morning, databricks software engineer, Apache Spark PMC member Mengxiangrui shared "Apache Spark and Databricks Cloud"; Department of Computer Science and Engineering, Ohio State University, senior Associate Lu Xiao The experience of "using RDMA to speed up large data processing on modern clusters", and Huawei Universe large platform architect Xu Jianpeng described the practical experience of "streaming ETL based on Dag engine"; Apache Hadoop and Tez Project PMC member Bikas Saha brings a technical speech called "Apache tez-a Framework to Model and build Hadoop Data 處理 Applications" Intel Senior Software Engineer, Apache Hadoop committer, Apache Hadoop PMC member Uma Maheswara Rao G and Intel Senior Software Engineer, Apache Hadoop committer Yi Liu completed the technical speech "extended properties and transparent encryption in Apache Hadoop". Forum afternoon, OpenStack Foundation director Du Yujie, China Mobile Group Business Support System Department project manager He Hongling, LinkedIn software engineer Wang, Berou Data Technology Co., Ltd. Chairman and CTO Liu Ruimin, Alibaba Senior Technical experts Zhi Yong, Cloud Man Technology co-founder and CEO Wu Zhuhua Six experts will be on OpenStack, databases, distributed messaging systems, memory technology and other areas of in-depth technology sharing.

Large data technology to share the actual results. Sohu Mobile research and development manager Liu "web-based News client Referral System", former communications data chief strategist Long's "large data sharing of financial investment", VMware Senior product line manager Dompo "VMware for large data applications pave the way", Asia Letter Tech Data Division product director Gao Wei's "Data asset management--the nuggets of the big Data Age" shows the application direction of large data technology from different dimensions. NetEase ntse/tnt engine leader Hu "NetEase database compression technology", Intel Big Data chief architect Dai King "the next generation of large data analysis based on Spark software stack", VMware Senior Business Solution Architecture Shi Jiewen Clear " 12306: Change the traditional way of thinking to solve the problem of NoSQL practice ", Admaster technology vice president of the" Hadoop in advertising monitoring technology practice, "Alibaba data Platform Division ODPs technical Experts Xu Dong" ODPs MapReduce Open Practice ", Ctrip Senior Software engineer Lio Xiaoge "make large data more real-time and visualization", the Friends of the co-founder and CTO Shen Xuahua "Real-time bidding optimization based on data" in the technical details of the more prominent combat treatment.

Large data applications focus on the industry landing. University of Washington tenured professor, China Unicom Research Institute of Large data/cloud computing scientist Chen Yixin, co-create of the Apache Kylin, ebay Senior Product manager Han Qing, China Mobile Suzhou Research and Development Center large data Project director Xu Meng, Baidu Research Institute large data laboratory data scientist Shen Zhiyong, Tencent Data Platform Department Precision Recommendation Center depth Learning Direction Yongjiang, General Assembly procedure President, Dropbox Research and development manager Shao, Tencent Wide-point pass senior researcher Zhihuihui, Wal-Mart Laboratory core data scientist Zhu Tao, ant gold Clothing large security and safety Intelligence Director/Senior data expert, CCF Chen Jidong, a member of the large data expert committee, Hua, director of research and development of the Great Data Innovation Center, and 11 technical experts such as the data architect Qi of the high-Tech Software Co., Ltd. brought together a feast for large data applications.

Large data infrastructure to achieve architecture integration. In order to cover the whole industry chain of large data, this Congress first added a "Large data infrastructure" sub-forum, from the hardware perspective to explore the large data storage, processing and software and hardware fusion technology. Among them, Wave group vice President Hureyun from the data center level to explain the new era of resource security system; Mellanox Asia Pacific Market Development Director Liu Tong, Wuhan Green Network Information Service Co., Ltd. Deputy general manager Rai, Brocade China technical director Yuzhanyun from the network level to analyze the infrastructure of the large data age; Seagate Senior Architect Shing, Memblaze technical advisor Liu to share in storage, and Baidu Infrastructure Division senior architect Chaihua, Beijing Excellent Communication Technology Co., Ltd. CEO Rai Chaohong, Dell Senior Solution Manager Yin Yu, Alibaba senior technical expert Chang, Asia letter large data platform research and development manager Tian Yi, AMD China Research Institute researcher Gu Junli take you to explore the big data platform to build the way.

In addition, there is the "National Large Data Innovation Project selection" activities of the 8 large data start-ups to showcase the results; the second China Big Data Technology Innovation competition "in the winning team in-depth technology sharing, and to help enterprises to quickly achieve" based on large data personalized system construction and its core technology, "the actual training.

2014, under the impetus of many practical enterprises, large data ecosystem has been developed rapidly, all kinds of technology in the "Application for the King" under the premise of the rapid iteration, the data really into high value. Behind the rapid development is a huge change in the technological architecture. To achieve the best use of data at a lower cost, enterprises need to follow technological changes and grasp the trend to better meet the challenges.

The "China large data technology and Industry development White Paper (2014)" and "2015 Big Data Ten Development trend forecast" were officially released at the conference. Represents the Baiyu industry experts in the large data typical application status, large data technology system status, large data IT industry chain and ecological environment, large data human resources, The in-depth thinking of large data development trends and suggestions will lay a solid theoretical foundation for the development of large data industry in the future, and provide valuable reference suggestions for enterprises to make large data strategic planning.

2014 large Data Application status and technical system Status quo. Large data as an enabling technology, like electricity, acts on all levels of economic society. The application of any kind of technology must go through the process of simplicity to complexity, and the application path of large data still conforms to this development path. Billions of users every day on the internet everywhere leaving scars, always leave traces, making its image in cyberspace increasingly plump, so that its needs can easily be accurately insight, precision marketing is still large data the most industry-scale areas. Around large data precision marketing industry chain, the Internet, finance, telecommunications, new media and other fields of large data technology product innovation, and constantly broaden the scope of application, deepening the depth. At the same time, large data applications in power grids, traffic, medical and health, land letters, government and agriculture have also increased significantly. Combined with the typical applications and cases of large data, it is not difficult to find that large data technology can excavate the hidden information and knowledge of large scale data, provide the basis for human social and economic activities, improve the efficiency of every field, and even the degree of intensification of the whole social economy. At present, large data areas are emerging a large number of new technologies every year, become a large data acquisition, storage, processing analysis or visualization of effective means, the relevant platform and tools are more and more choices for the industry, the future will continue to appear new technologies and tools. The "China large data technology and Industry development White Paper (2014)", jointly edited by the CCF large data expert committee and the Zhongguancun large data Industry Alliance, will explain the latest development and dynamics of various large data technologies in detail.

2015 technical challenge and technology development trend forecast. The CCF large data Experts committee annually conducts annual trend forecast surveys for all members. Hope that through the annual forecast of large data trends, the most concerned about the science, technology, industry, application, policy and other related changes in the trend to explore, so that the large data fields related to people from all walks of life can be enlightened, or homeopathy, or depending on the potential, or leading the forefront. "2015 Big Data Ten Development trend forecast" divides the candidate into the big Data science, the big Data technology, the big Data system and the project, the Big Data application, the data resources, the industrial ecology environment and so on altogether 6 different aspects, total 54 candidates. Finally, according to the number of votes, 10 major development trends were selected: the integration of large data and artificial intelligence, cross-disciplinary data analysis applications, data science to promote multidisciplinary integration, in-depth learning into a large data intelligence analysis of the core technology, the use of large data to build large-scale, orderly open knowledge system, The security of large data is worrying, open source continues to become the mainstream of large data technology, large data and cloud computing, mobile Internet and so on comprehensive application, large data to enhance government governance ability, data resource, privatization, commercialization become a continuous trend, large data technology curriculum system construction and talent training rapid development.

2014 China Large Data Technology conference, Bayupha keynote speech, Technical forum and professional training, thousands of industry participants gathered in the in-depth practice of the trip. As a new starting point for the combination of large data technology and application depth, BDTC 2014 has become a new platform of close cooperation between industry, scientific and technological circles and government departments, and has made great contribution to the research and production of large data in China.