From the Internet era to the Internet of Things era, data has become the core asset of enterprises. Mining the value of data has become the top priority of enterprise data exploration and technology application, and will even affect the future development and business model of enterprises. However, the characteristics of big data, such as large volume, diversity, low value density and fast speed, also bring many challenges to the application and R&D of big data.
- How to deal with the growing organic characteristics of big data and deal with large-scale data mining?
- How to improve the existing data storage and management technology to meet the real-time processing requirements of large-scale data and high-speed data streams in big data applications?
- How to solve the core problems in big data technology?
In order to help enterprises apply big data technology and practically analyze the data problems faced by enterprises, the 31st issue of Qiniu Cloud Architects' Practice Day on November 9 in Nanjing will be themed on "Practice and Sharing of Big Data Technology", and invited big names such as Bilibili, Youhuo, Scallop English, etc. to conduct in-depth discussions and take you to deeply explore the value of enterprise data in massive data.
Time: 13:30-17:30 on November 9
Venue: Floor 1, Building 6, No. 18, Jialingjiang East Street, Jianye District, Nanjing, Jiangsu Province
Guests and topics are fresh
Topic 1 Evolution of big data system
Zhang Chunhua, shelf constructor and operation and maintenance director
**Guest introduction: * * is responsible for the architecture design of the platform system and big data system of the goods e-commerce. Have a certain understanding and rich practice of microservice framework, e-commerce big data system, operation and maintenance system, etc.
**Content introduction: * * The evolution process of the big data system of the goods e-commerce is from a single traditional MR on hadoop system to a big data processing platform that includes stream processing (spark&flash), OLAP on hadoop, and MPP databases, and shares the practice of building a big data system on the public cloud.
Topic 2 Unlimited Value of Smart Log Big Data 
Cheng Xuesong, Senior Solution Architect of Qiniuyun
Guest introduction: Responsible for the solution design and preaching of Qiniu Cloud log platform, with a deep understanding of big data technology and profound industry application experience.
Content introduction: With the rapid development of information technology, the operation and maintenance environment has become more and more complex, which has brought many problems such as monitoring difficulties, troubleshooting difficulties, security challenges, management difficulties and so on. This time, we will focus on how to use log data to intelligently retrieve and analyze these logs by means of big data, so as to locate problems faster and continuously mine data value.
Topic 3 Prometheus Distribution and Visualization
Tu Huibilibili Foundation Platform Architect
Guest introduction: With more than 10 years of operation and maintenance experience, he is now the architect of Bilibili foundation platform
Content introduction: The Bilibili monitoring platform adopts the Prometheus architecture, which inherently does not support distributed features. Therefore, there are many landing problems in large-scale applications, including how to platform, how to simplify the configuration of monitoring alarm statements, so that they can be decentralized to research and development, and meet the complex needs of business. These problems are the direction that the operation and maintenance architects need to consider.
Topic 4 Application of Big Data and AI Technology in Scallop Adaptive Learning System

Ding Yan, Technical Director of Scallop
Guest introduction: Responsible for the design and implementation of scallop server technology architecture. Designed and promoted docker, k8s, service grid, etc. in scallop production environment, and big data and AI technology in scallop products.
Content introduction: introduce the engineering practice of adaptive learning system based on user learning data, involving data accumulation, storage, training, feedback and other links.
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"Seven Bull Architects' Practice Day" - only about architecture
Qiniu Architects' Practice Day is an offline technology salon activity launched by Qiniu Cloud. It is committed to providing the most cutting-edge and in-depth technology exchange platform for developers, architects and decision makers in the industry, helping everyone to know technology trends and learn from experience and results, in conjunction with the industry's senior technology giants and outstanding architects of major companies and entrepreneurial brands. Here we only talk about architecture.
Up to now, Qiniu Architects' Practice Day has successfully held 30 sessions in Beijing, Shanghai, Guangzhou, Shenzhen and Hangzhou, and is loved by developers. Previous activity videos and PPTs can be found on the "Official website of architect practice day":
https://www.qiniu.com/events/arch

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