随身听第7期:1分钟带你了解TigerGraph的架构
本期随身听带你快速认识TigerGraph的架构。底层是我们的分布式可扩展的原生图数据库,支持HTPA,OLTP,OLAP。最上面有四块,第一块是怎么做分析、可视化,第二块是机器学习,第三块是saas模式的应用,最后一块是通过connector连接你的整个大数据生态。
本期随身听带你快速认识TigerGraph的架构。底层是我们的分布式可扩展的原生图数据库,支持HTPA,OLTP,OLAP。最上面有四块,第一块是怎么做分析、可视化,第二块是机器学习,第三块是saas模式的应用,最后一块是通过connector连接你的整个大数据生态。
Anna Veronika Dorogus
Machine Learning Expert
Anna Veronika Dorogush graduated from Lomonosov Moscow State University and Yandex School of Data Analysis. She used to work at ABBYY, Yandex, Microsoft and Google on Machine Learning infrastructure and Machine Learning frameworks. In 2017 she published the open-source library CatBoost, which is now one of top-3 most popular Gradient Boosting libraries, and the top 7-th most used Machine Learning framework in the world according to Kaggle 2021 review.