"Bdtc Sneak Peek" Lio Xiaoge: Make large data more real-time and visual

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The General Assembly lasts three days to promote the development of large data technology in industry applications. To set up a "large data infrastructure", "large Data ecosystem", "large Data Technology", "large Data Application", "large data internet finance technology", "intelligent information processing" and many other theme forums and industry summits. Sponsored by the China Computer Society, CCF large data committee of experts, Nanjing University with the co-organizer of the "2014 second CCF large data academic conference" will also be convened, and the technical conference to share the theme of the report.

The Conference will invite top experts and front-line practitioners in nearly 100 foreign data technology fields to discuss the latest development of OSS, YARN, Spark, Tez, HBase, Kafka, oceanbase, etc., Nosql/newsql, memory calculation, The development trend of flow calculation and graph computing technology, OpenStack ecosystem for large data computing needs, and large data visualization, machine learning/depth learning, business intelligence, data analysis, the latest industry applications, sharing the actual production system of technical characteristics and practical experience.

Ctrip Senior Software engineer Lio Xiaoge will be in the "Big Data Technology" sub-forum to bring "big data more real-time and visualization" speech. Large data is not only large in size, but it is best to view and analyze it in real time. Real-time and visualization close the distance between large data and ordinary users, more close to business needs. Ctrip has made a lot of efforts in real time and visualization of large data, realizing the following goals, Lio Xiaoge will share Ctrip's experience and technology in his speech:

Lio Xiaoge, Ctrip senior software engineer

Has 6 years of experience in the development of Hadoop related applications, successively in Pptv,ebay, Ctrip participated in the development of the corresponding large data platform-related applications, currently in the Ctrip Data Infrastructure team is responsible for the transport and development of a large database platform.

CSDN: What large data technologies have you used in your company? What are some of the areas where you are satisfied with these technologies and where are you dissatisfied?

Lio Xiaoge: Our company attaches great importance to large data technology, we mainly use the technology is a variety of Hadoop ecological environment Open source framework, Storm,spark and so on. The satisfaction is that they are open source, so they always find a solution when they encounter problems, and the community is active and can get a lot of help. At the same time will also encounter a lot of bugs, need to use the framework is very understanding, in order to use it well, thanks to our strong transport and development team support, continuous optimization, and constantly solve the problem.

CSDN: According to your understanding, at present similar enterprise, in the data aspect, encounters the biggest difficulty is what?

Lio Xiaoge: As far as I know, every company has a lot of data, T-class or P-level data every day, but most of them do not understand the business of technology, do not understand the technology of business, so that will not be very efficient use of data to help the business, so large data visualization is very important, business people can easily get the data they want , you can save a lot of communication costs.

CSDN: What are some of the technologies you are looking at and studying in the Big data field?

Lio Xiaoge: storm,streaming flow calculation and spark is what I am now observing and research, the Internet is very competitive pressure, so many things to fast, who relatively quickly occupied the advantages, large data is the same, the data early, the business can make decisions earlier. We are constantly improving and moving towards this goal.

CSDN: Please talk about the topic you are about to share at this conference.

Lio Xiaoge: I share is made big data visualizable and real-time, so that the large numbers more real-time and visualization, Ctrip every day on the T data are real-time from the website, mobile phones and other applications to the service side, if there is no visualization, do not know what the user behavior , which product users prefer. If the calculation is very slow, we will not give users good feedback, not timely detection and resolution of various applications encountered a variety of problems, so you can not give users a good experience, will lose a large number of users. We aim at the first time to provide users with the best service.

CSDN: Which listeners should know these topics best? What topics can you share to help your audience solve problems?

Lio Xiaoge: Interested in real-time and visualization of large data can participate in the discussion.

The National large Data Innovation Project selection activity is now in full swing, details click here.

The 2014 China Large Data Technology Conference (Marvell conference 2014,BDTC 2014) will be held at Crowne Plaza Hotel, New Yunnan, December 12, 2014 14th. Heritage since 2008, after seven precipitation, "China's large Data technology conference" is currently the most influential, the largest large-scale data field technology event. At this session, you will not only be able to learn about Apache Hadoop submitter uma maheswara Rao G (a member of the project Management Committee), Yi Liu, and members of the Apache Hadoop and Tez Project Management Committee Bikas Saha and other shares of the general large data open source project of the latest achievements and development trends, but also from Tencent, Ali, Cloudera, LinkedIn, NetEase and other institutions of the dozens of dry goods to share. There are a few discount tickets for the current ticket purchase.

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