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Free, technical higher-ups, 50 dry technology share waiting for you

Time:09-25

On July 28, QingCloud Insight 2016 more than 50 industry experts will be invited to share cloud computing, big data, machine learning, container, and the conversation, frontier topic in the areas such as security, build a communication industry, developers learning, entrepreneurial innovation project shows the top level of the cloud computing event,

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higher-ups, dry goods, first looks wonderful agenda

department lecturer and introduce topic:

# # # # # lecturer: zhou small four | QingCloud qingyun, head of the data platform
Guest is introduced: who won the Florida International University (FIU) computer master, MBA, Shanghai jiaotong University, master's degree in pattern recognition and intelligent system, and a bachelor's degree, Harbin engineering University before joining qingyun has worked in the United States department of FIU e-learning, IBM and gold (alibaba),
# # # # # issue: qingyun QingCloud big data platform construction and planning
Issue is introduced: qingyun is dedicated to bringing corporate clients the best service to the most comprehensive big data platform, the service ability from both qing-yun yu own products also include partners to provide diversified products, in this address, week four will discuss with you the big data platform cloud challenges and solutions, as well as the big data from foundation platform to qingyun to construct upper business and planning,

# # # # # lecturer: a bright | melon seeds used car chief scientist
Guest is introduced: graduated from China university of science and technology, Chinese Academy of Sciences, and in 2011 joined the Hulu is responsible for the video to recommend work, in 2013 to join the appropriate letter big data innovation center is responsible for the risk control automatically, based on machine learning in 2009 Netflix Prize won the second place, with "recommendation system practice", in the melon seeds,
# # # # # issue: distributed machine learning
Issue is introduced: building a machine learning system itself is not difficult, but to build a good effect of machine learning system is not simple, and the effect of the system is to determine the success or failure of the whole product lifeline, so this will be around the effect of machine learning system optimization techniques were discussed, through in-depth analysis of the important link in system operation, combined with the practice of developing accumulated valuable experience, problem and for all,

# # # # # lecturer: JianLiRong | cool g data founder & amp; CEO
Guest is introduced: JianLiRong is cool g data in Beijing science and technology co., LTD., co-founder and CEO, successively in the IBM China research institute, yahoo r&d center in Beijing, and Pivotal China r&d center is engaged in the research and development of distributed computing related work, and has published more than the international conference of journal articles and more than a dozen international patents, involved in wireless networks, cloud computing, Hadoop, and distributed Database, JianLiRong is open source project, Apache HAWQ committer and Greenplum Database contributor, holds a bachelor's degree in computer, tsinghua university and a master's degree in computer science at Hong Kong university of science and technology,
# # # # # issue: the cloud of data warehouse technology and the application of
Issue is introduced: the data warehouse as the core engine of business intelligence analysis, always is an important component of enterprise IT systems, today in the era of big data and cloud computing, in this address, JianLiRong will discuss with you the cloud bring challenges and opportunities to the data warehouse technology, and how the cloud data warehouse with Hadoop and Spark technology together complete the cloud data such as ecological, moreover, JianLiRong will share his how to build the cloud big data applications of technology selection,


# # # # # lecturer: Kong Miao | zhuge IO founder/CEO
Guests introduced: served as 37 degree CTO, lead the team to create a pulse network, hostess data, hostess DMP products, such as telecom service, ogilvy & mather, companies such as in distributed computing, data analysis and data mining field has accumulated a lot of experience, in 2015, was named as an entrepreneurial "30 under 30," zhuge IO is a refinement of intelligent data analysis platform, to help enterprises to improve the efficiency of data analysis, insight into customer value, drive business growth, now has more than 8000 enterprise registration is used, its core customers include a/line, logic thinking, optimal letter used, cartoons heeling, ENJOY well-known Internet companies, such as
# # # # # issue: the various ge IO improve the efficiency of the enterprise data analysis of large data practice
Content introduction: from BI to DI, companies from the focus on the analysis of data collection, cleaning, based on the business process of building a data warehouse, become more focused on enterprise of all departments and all employees how to pass data to guide and optimize the decision process and goals, Kong Miao in this address will share enterprise of the development of large data analysis, elaborating intelligent data analysis and the differences of traditional BI, buried point and buried point of difference and various ge IO architecture practice topic,

# # # # # lecturer: yuan understanding | clouds weather CTO
Guest is introduced: graduated from Beijing university math department, more than 10 years of career as a programmer, in and out mathematical, program, open source, knowledge, the Internet between these keywords, the Chinese wikipedia, introduced in 2003, contributing to a Chinese web world, 2015, remained with friends through clouds weather this kind of mobile phone application, bring near China's short-term rainfall forecast into new realm,
# # # # # issue: clouds weather real-time data flow analysis and processing of the
Content introduction: in this address, yuan understanding will reveal for everybody with small cardiac big clouds team how to use sophisticated prediction algorithm, an array of computing services, event bus and file storage technologies such as creating clouds weather the fine-grained accurate real-time weather service products,

# # # # # lecturer: raptors | fir. Im CEO
Guest is introduced: the raptors, fir. Im a CEO, the earliest a batch of iOS developer, was established in 2014, fir. Im team, provide enterprises with application testing, collapse analysis, continuous integration development testing improve service efficiency, such as
# # # # # issue: machine,
Content is introduced: the more, as the machine will be replaced by machines, write code for 10 years, according to the programmer immediate release pain points out application test, collapse analysis, continuous integration development testing efficiency improve services such as raptors, will be in this meeting to share his some thought of automation and the development process,
Guest is introduced: the raptors, fir. Im a CEO, the earliest a batch of iOS developer, was established in 2014, fir. Im team, provide enterprises with application testing, collapse analysis, continuous integration development testing improve service efficiency, such as

# # # # # lecturer: Zheng Ye | Ruff CTO
# # # # # issue: Ruff: use JavaScript fix hardware development

# # # # # lecturer: Gao Chunhui | and founder of IPIP.NET
Guest is introduced: serial entrepreneur, founder of IPIP.NET, is committed to Internet based data mining,
# # # # # issue: look easy, doing the difficult - the story behind the IP library
Content is introduced: the technology behind the IP library and a technology of serial entrepreneur technology driven entrepreneurial thinking,

# # # # # lecturer: PingCAP co-founder and CEO liu qi
Guest is introduced: PingCAP co-founder and CEO liu qi, has created the TiDB, Codis well-known open source projects, such as a former peas, jingdong senior system architect, is also a well-known Go language and Redis experts, is now engaged in open source distributed NewSQL database TiDB (inspired by Google F1) development, is good at high concurrency, large-scale, distributed database system architecture design,
# # # # # issues: How we built TiDB
Content introduction: TiDB is a distributed NewSQL database compatible with MySQL protocol. In the session, you will lean how to build a NewSQL database that implements lots of the features In Google spanner and Google F1. A. and still keep compatible with MySQL protocol. Also I will talk about the experiences of testing distributed system like TiKV and TiDB.

# # # more special lecturer:

- Gao Xulei |, general manager of China merchants bank, data center, gen ZhaoYin cloud information technology co., LTD., chairman of the board of directors
Deputy chief engineer - Shen Wenhai | national weather service information center
Bank - XiaoGuoBin | Beijing data center general manager
- hai-hang wang | kyushu securities CTO
- zhi-bin xu | Beijing capital highway development group co., LTD., deputy chief engineer
Wang yong | huishang bank
- Luo Liang | people pedestrian technology co., LTD. Technology VP
Founder of the rubik's cube show - Zhang Zheng | English & amp; CEO
- Han Xin | Dmall CTO (multipoint)
- Chen jian | ball CTO
Chongqing - ji-bin li | sunshine melts director of information technology (miit)
- Huang Yunsong | QingCloud qingyun CEO
- tian | QingCloud qingyun partners and ecological systems in general manager
- Mr Tang | primus information CEO
- Sun Min | VMware R& D Staff Engineer
- the small meal | clouds founder/CEO
- gui-lin xu | FIT2CLOUD technical director of sermon
- more lecturer, in no particular order

Welfare time
In addition to dry technology sharing, we prepared a series of small gifts for everyone, and see it together,

T-shirt, as shown in the figure below:
https://community.qingcloud.com/uploads/files/1466066553649-%E8%A1%A3%E6%9C%8D.jpg

Backpack, as shown in the following such as:
https://pek3a.qingstor.com/community/resource/pic/%E7%A4%BC%E5%93%81.png

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CodePudding user response:

CodePudding user response:

Work, where is it?

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CodePudding user response:

In what place