Dr. Yuanyuan Tian is a Principal Scientist at Microsoft Gray Systems Lab (GSL), and an ACM Distinguished Member. Before Microsoft, she was a Principal Research Staff Member at IBM Almaden Research Center. She obtained her Ph.D. in computer science from the University of Michigan. Her research interests include HTAP, SQL-on-Hadoop, big data federation, graph analytics platforms, and large-scale systems for machine learning. She has published two books and over 40 articles in top database venues with 4500+ citations. Dr. Tian has served in the editorial board for the new encyclopedia for Big Data, as an Associate Editor for VLDB Journal and PVLDB, and chaired various tracks in top database con
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graph analyticsgraph processingbig datasql-on-hadoopindustry researchjob huntinginfluence analysismicroblogsldafederationdistributed joinjoin on hadoopquery push-downbloom filterhybrid warehousecost modelgraph-centric programmingbig data analyticsmachine learning
Dr. Yuanyuan Tian is a Principal Scientist at Microsoft Gray Systems Lab (GSL), and an ACM Distinguished Member. Before Microsoft, she was a Principal Research Staff Member at IBM Almaden Research Center. She obtained her Ph.D. in computer science from the University of Michigan. Her research interests include HTAP, SQL-on-Hadoop, big data federation, graph analytics platforms, and large-scale systems for machine learning. She has published two books and over 40 articles in top database venues with 4500+ citations. Dr. Tian has served in the editorial board for the new encyclopedia for Big Data, as an Associate Editor for VLDB Journal and PVLDB, and chaired various tracks in top database con
Tags
graph analyticsgraph processingbig datasql-on-hadoopindustry researchjob huntinginfluence analysismicroblogsldafederationdistributed joinjoin on hadoopquery push-downbloom filterhybrid warehousecost modelgraph-centric programmingbig data analyticsmachine learning
