Ten reasons to participate in the 2014 China Big Data Technology conference with mainstream peers

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology.

December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be held in Beijing new Yunnan Crowne Plaza Hotel. On the eve of the conference, we summed up the ten reasons why BDTC should not be missed this year.

Reason one: The depth of the industry status quo and trend of interpretation. The Chinese Computer Society will officially release the "2015 Big Data Ten Development trend forecast" and "China Big Data technology and Industry development White Paper (2014)" in BDTC 2014. The two reports released at the last General Assembly--BDTC 2013 were highly concerned by academia and industry. This year, as the research and production of large data continues to deepen more pragmatically, the "2015 Data ten Development Trend forecast" which is participated by Baiyu technical experts, as well as covers the big data development background, the big data typical application present situation, the big data technology system present situation, the big data IT industry chain and the ecological environment, the big data talented person resources, Large data development trends and suggestions, "China's big Data technology and Industry development White Paper (2014)", more worthy of expectation. In addition, BDTC 2014 also has a number of forecasts and interpretation of industry trends, including the Star-ring technology CTO Sun Yuanhao shared the "2015 large data base technology evolution trend" and Wuhan Green Network Information Services Limited liability company deputy general manager Rai brought "large data Age network infrastructure evolution" and so on.

Reason two: Top industry application sharing. After several years of development, large data has become more mature, and in the manufacturing, transportation, medical, education, financial and other industries have been deeply applied. To this end, the conference will launch a number of industrial applications, including China Unicom Thousands of people plan to introduce talent, the University of Washington, associate Professor Chen Yixin, "Telecommunications operators large data Application practice", China Mobile Suzhou Research and Development Center large Data Product department general manager Changling "Telecom operators large data business model research", Wanxiang Group Communication Data Chief Strategic Officer Long "the analysis and excavation of large financial data", high-tech expert Qi's "large data in real-time traffic information applications" and so on.

Reason three: the International Frontier Academic research achievement. In addition to technology sharing, the second session of the CCF Conference will be held in 2014 and shared with the technical Conference on thematic reports. At that time, Conviva co-founder and CEO, Zhang Hui, professor of computer science at Carnegie Mellon University, professor of electronic and computer engineering at Delaware University, founder and director of the computer system architecture and parallel Systems Laboratory, Gao Guangrong, ICML 2014 Procedure Committee chairman, Eric P, Carnegie Mellon University professor . Xing will attend this event to share the international forefront of the major data technology research results.

Reason four: The luxury lineup from the Hadoop biosphere. Recalling the history of Hadoop, the project was formally detached from the Nutch project after Yahoo hired Doug Cutting in early 2006 and was only just formed by 2008. However, at the end of 2008, the organizing committee of the Congress to devote energy to the Sermon on Hadoop, although the size of only dozens of people, invited experts to cover Yahoo, Facebook, Baidu and other companies core technical personnel. Today, Hadoop has been recognized by the industry as the core technology of large data, distributed environment to provide a mass data processing capacity of the fact standard. And this session, we have also invited the father of Hadoop, Cloudera chief architect Doug Cutting,hortonworks core technician Ted Yu,apache Hadoop committer, PMC member Uma Maheswara Rao g,apache hadoop committer yi liu,apache Hadoop and Tez Project PMC member Bikas Saha, and many other well-known Hadoop experts, take you to the latest research and development trends in the Hadoop ecosystem.

Reason five: databricks: Learn what startups are doing from spark. Spark is a cluster computing platform at the University of California, Berkeley Amplab, which is based on memory computing and provides near-real-time data processing capabilities in the context of compatibility with the Hadoop biosphere. In just 4 years, Spark has developed into the Apache Software Foundation's top open source project, with 30 Committer, its users include IBM, Amazon, Yahoo!, Sohu, Baidu, Ali, Tencent and many other domestic and foreign companies, including Spark SQL, Spark streaming, Mllib, Graphx and many other related projects. The upstart's pace, however, is clearly more than just real-time computing, and Spark has taken over the title of veteran Hadoop in the recent sort benchmark's massive (100TB) off-line data-sorting results, and recently terminated the Shark project, and opened up a new spark SQL. Then what will be the future roadmap of Spark, here we may wish to look at this session Databricks software engineer Mengxiangrui Sharing-"Spark and Databricks Cloud". At the same time, after the sharing is over, you still have the opportunity to consult Mengxiangrui alone.

Reason 6:100 degrees, Tencent to share the depth of study exploration. In recent years, the major Internet companies to machine learning investment is more and more high, but also indirectly caused by the current neural network and in-depth learning field of hot. On the BDTC 2014, Baidu and Tencent will share their best practices in the depth of learning-the search for deep learning in Baidu and Mariana: the progress and application of the Advanced learning platform for Tencent.

Reason seven: Sweep various fields at home and abroad many institutions of large data combat. The big data age has brought countless opportunities to people, but it is not easy to use large data to win, enterprises often need to overcome the massive data storage, processing, security and many other challenges. In order to meet the arrival of the large data age, and further promote the large data technology innovation and application, this session will release a large number of well-known institutions of best practice, including: LinkedIn software engineer Wang "Apache Kafka Analysis and its application of LinkedIn practice", Dropbox technical manager Shao's "Dropbox Large Data Application", Baidu's core technical experts, "Baidu Cluster Management system analysis", Tencent Wide-point senior engineer Xuemin "large-scale theme model and its application in Tencent", VMware Senior Framework Shi Jiewen Qing's " 12306 Railway ticketing website architecture optimization, Sohu Mobile research and development manager Liu's "based on the full web content of Sohu Mobile News Client recommendation system", ebay Senior Product manager, Kylin Joint founder Han Qing Kylin.io: Large-scale online analysis (OLAP) engine based on Hadoop, Ali small micro-gold suit (ant suit) data analyst Chen Jidong's "network security and fraud risk management practice based on large data", Wal-Mart laboratory chief data scientist Tao Zhu's "the" Nanotechnology ' in ecommerce ', Ctrip Senior software engineer Lio Xiaoge's "Make Big Data visualizable and real-time" and so on.

Reason eight: resource management techniques in a large data age. Today, cloud computing has become the best platform for resource scheduling at the bottom of large data, but it is not easy to build a cloud platform. On BDTC 2014, we specifically invited the Director of the OpenStack Foundation, Du Yujie, to share a keynote address entitled "OpenStack's Thinking about Big data: technology, applications, ecosystems." And in the intelligent network construction, Boko Senior technical advisor Yuzhanyun More we brought the practice of SDN technology sharing. At the data center level, Hureyun, vice president of Wave group, will share the open converged Cloud data center. At the data storage level, Seagate's technical experts will introduce the technical content of the storage portion of the Open Computing Project (open Compute PROJECT,OCP).

Reason nine: Large data practices based on public cloud. Now, cloud computing is becoming more and more mature, and public cloud services have been applied in all walks of life. At this session, we shared a wide range of large data practices based on public cloud, including AWS large data and high performance computing frameworks, a global senior marketing manager, the "AWS Large Application Practice" brought by Ben Butler, research by the European Union Center research and Development Architecture chief architect Sabri Skhiri shared LAMBDA Architecture 2.0 convergence inclusive Real-time Analytics, context-awareness and Online Learning, ODPs Senior Technical Experts Xu Changliang taught the "ODPs practice" and so on. This is an absolute paradise for startups and institutions with less technical power.

Reason 10: The latest developments in relational database technology. The development of relational database systems has not stopped and is progressing in terms of horizontal scaling, high availability, and high performance. At this year's conference, we presented to the participants of China Mobile Group Business Support Systems Department project manager, senior engineer He Hongling "MPP Database Technology and application Analysis", detail the relationship database in MPP direction of historical development and case analysis. Berou Data Technology Co., Ltd. Chairman and CTO Liu Ruimin's "mass Parallel (MPP) memory Data Warehouse development phase and implementation of" to explore the needs of data warehouse memory, motivation and feasibility. Alibaba Senior technical Experts Heng modest "oceanbase database to achieve basic problem solving/distributed optimization." NetEase self-Research Tnt/ntse engine responsible core developers Hu "NetEase database data compression technology practice." Open a window for the use of traditional relational databases and for developers to handle large data.

In addition, with the BDTC 20,141 started the "second China Big Data Technology innovation competition" and "the second national Large Data Innovation Project selection" has also entered the popular selection stage. For Baidu Big Data creativity and application, multimedia display advertisement Click Rate estimate, based on the related network video mining, electric business consumer behavior prediction, user browsing News mode analysis and personalized news recommendation, series of hazards of public security incidents related to mining and prediction, Based on the Internet large data log class application processing, and so on seven questions of nearly 900 teams have completed the work submitted, formally entered the review process. The conference will hold the award ceremony of the winning team and organize the special report of the winning work. and includes a large scale Internet architecture technology, large data storage and analysis (data mining, business intelligence, machine learning/depth learning, data visualization), innovative projects and products in the field of High-performance computing, construction of large-scale internet, management and service, virtualization technology, open source technology Hadoop, spark and other project applications, Hundreds of domestic teams in the field of large data industry analysis are actively competing for 10 miniature booths at the conference site. Believe here, you can reap countless opportunities for innovation and more like-minded entrepreneurial partners.

If you agree with the trend of large data development, if you pay attention to the significance of technical personnel and engineers in the large data age, if you expect technology practice to bring rapid development, if you are determined to shape the key competitiveness of new enterprises, then do not miss the 2014 China Large data Technology Congress. At present, ticket sales are hot, groups to buy tickets can enjoy 80 percent discount, individual ticket only part of the remaining, quickly rob tickets!

CSDN invites you to participate in China's large data award-winning survey activities, just answer 23 questions will have the opportunity to obtain the highest value of 2700 Yuan Award (a total of 10), speed to participate in it!

Appendix: BDTC 2014 Calendar (click the picture to see the larger image)

█ plenary meeting December 13 (all day)

█ Large Data Ecosystem Forum December 14 (all day)

█ Large Data Technology Forum December 14 (all day)

█ Large Data Application Forum December 14 (all day)

█ Large Data Infrastructure Forum December 14 (all day)

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