Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Mingxi Wu

Mingxi Wu
Vice President, Engineering, TigerGraph

Website

Mingxi Wu is the vice president of engineering at TigerGraph, a Silicon Valley-based startup building a world-leading real-time graph database. Over his career, Mingxi has focused on database research and data management software. Previously, he worked in Microsoft’s SQL Server Group, Oracle’s Relational Database Optimizer Group, and Turn Inc.‘s Big Data Management Group. Lately, his interest has turned to building an easy-to-use and highly expressive graph query language. He’s won research awards from the most prestigious publication venues in database and data mining, including SIGMOD, KDD, and VLDB, and has authored five US patents with three more international patents pending. Mingxi holds a PhD specializing in both database and data mining from the University of Florida.

Sessions

14:05–14:45 Thursday, 2 May 2019
8 prerequisites of a graph query language
Data Science, Machine Learning & AI
 Location: Capital Suite 14
Secondary topics:  Graph technologies and analytics
Mingxi Wu (TigerGraph)
Average rating: **...
(2.75, 4 ratings)
Graph query language is the key to unleash the value from connected data. Mingxi Wu outlines the eight prerequisites of a practical graph query language, drawn from six years' experience dealing with real-world graph analytical use cases. Along the way, Mingxi compares GSQL, Gremlin, Cypher, and SPARQL, pointing out their respective pros and cons. Read more.