O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国

GraphSQL: 崭新的游戏规则一个完整的高效图数据和分析平台 (GraphSQL is a game changer: A complete high performance graph data and analytics platform)

此演讲使用中文 (This will be presented in Chinese)

Mingxi Wu (GraphSQL), Yu Xu (GraphSQL Inc.)
14:50–15:30 Saturday, 2017-07-15
数据工程和架构 (Data engineering and architecture)
地点: 多功能厅5B+C(Function Room 5B+C) 观众水平 (Level): Intermediate
平均得分:: ***..
(3.00, 1 次得分)

必要预备知识 (Prerequisite Knowledge)

A basic understanding of the relational SQL language

您将学到什么 (What you'll learn)

Understand how to use a graph database to solve complex business analytic problems in real time and explore GraphSQL's enterprise-ready graph data platform

描述 (Description)

这个演讲会深入解析GraphSQL的企业级图数据平台架构,同时通过两个上线的企业级用户展示这个平台强大的功能。
首先,我们会给出GraphSQL的全栈技术架构,并具体讨论它的使用优势:
1)高效的数据导入
2)高效的并行执行图算法
3)通过 REST接口实时更新和插入数据
4)一个统一的线上和线下的大规模数据处理环境
5)一个完整的,直接的高层开发库和可视化界面。用户会发现我们发明的类似SQL的图数据查询语言简单易用,同时在大数据上具有高效的结果。

其次,我们会通过两个中国大型企业用户的案例分析,示范GraphSQL的用户是怎样获得有效的经济结果。
1)用基于图技术的机器学习与电信欺诈实时搏斗:中国电信。
2) 用企业图谱做出智能决策:龙信数据


Mingxi Wu and Yu Xu offer an overview of GraphSQL, a high-performance enterprise graph data platform for real-time graph analytics that enables businesses to transform structured, semistructured, and unstructured data and massive enterprise data silos into an intelligent interconnected data network, uncovering implicit patterns and critical insights to drive business growth.

Mingxi and Yu outline GraphSQL’s complete technology architecture and discuss the key advantages of using the platform, including fast data loading, high-performance parallel execution of graph algorithms, real-time capability for streaming updates and inserts using REST, a unified environment for both real-time analytics and large-scale offline data processing, and a complete high-level SDK with intuitive visualization. Users of the platform benefit significantly by using SQL-like graph query language (GSQL) while inherently getting the ideal performance on big data. Mingxi and Yu also share two customer case studies: combatting telecom fraud in real time with graph-powered machine learning at China Mobile and making intelligent decisions with enterprise knowledge graphs at Long Credit.

Photo of Mingxi Wu

Mingxi Wu

GraphSQL

Mingxi Wu is the vice president of engineering at GraphSQL, a startup building a leading real-time graph data platform. Over his 15-year career, Mingxi has focused on database research and data management software building in Microsoft’s SQL server group and Oracle’s relational database optimizer group. He has won research awards in the most prestigious publication venues in database and data mining (SIGMOD, KDD, and VLDB). Recently, he has been focusing on building an easy-to-use and highly expressive graph query language. Mingxi holds a PhD from the University of Florida, where he specialized in both database and data mining.

Photo of Yu Xu

Yu Xu

GraphSQL Inc.

Yu Xu is the cofounder and CEO at GraphSQL. Previously, Yu held data engineering roles at Twitter, Teradata, and IBM. He is the author of 26 US patents (13 issued and 13 pending) in the areas of parallel computing, large-scale data analysis, information retrieval, and data management and has published 13 papers at top database conferences. Yu has also served on the program committees of top conferences in his field.

联系OReillyData

关注OReillyData微信号获取最新会议信息并浏览前沿数据文章。

WeChat QRcode

 

Stay Connected Image 1
Stay Connected Image 3
Stay Connected Image 2

阅读关于大数据的最新理念。

ORB Data Site