SIGMOD 2019: Accepted Industrial Papers

  • Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
    Sudipto Das (Microsoft Research); Miroslav Grbic (Microsoft); Igor Ilic (Microsoft); Isidora Jovandic (Microsoft); Andrija Jovanovic (Microsoft); Vivek Narasayya (Microsoft Research); Miodrag Radulovic (Microsoft); Maja Stikic (Microsoft); Gaoxiang Xu (Microsoft); Surajit Chaudhuri (Microsoft Research)
  • Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
    Stephen H Bach (Brown University); Daniel Rodriguez (Google); Yintao Liu (Google); Chong Luo (Google); Haidong Shao (Google); Cassandra Xia (Google); Souvik Sen (Google); Alexander J Ratner (Stanford University); Braden Hancock (Stanford University); Houman Alborzi (Google); Rahul Kuchhal (Google); Christopher Re (Stanford University); Rob Malkin (Google)
  • QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
    Rui Ding (Microsoft Research); Shi Han (Microsoft Research); Yong Xu (Microsoft Research ); Haidong Zhang (Microsoft Research); Dongmei Zhang (Microsoft Research)
  • PS2: Parameter Server on Spark
    Zhipeng Zhang (Peking University); Bin Cui (Peking University); Yingxia Shao (BUPT); Lele Yu (Tencent Inc.); Jiawei Jiang (Tencent); Xupeng Miao (Peking University)
  • FoundationDB Record Layer: A Multi-Tenant Structured Datastore
    Christos Chrysafis (Apple); Ben Collins (Apple); Scott Dugas (Apple); Jay Dunkelberger (Apple); Moussa Ehsan (Apple); Scott Gray (Apple); Alec Grieser (Apple); Ori Herrnstadt (Apple); Kfir Lev-Ari (Apple); Tao Lin (Apple); Mike McMahon (Apple); Nicholas Schiefer (Apple); Alexander Shraer (Apple)
  • One SQL to Rule Them All - an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables
    Edmon Begoli (Oak Ridge National Laboratory / Apache Calcite); Tyler Akidau (Google Inc. / Apache Beam); Fabian Hueske (Ververica / Apache Calcite); Julian Hyde (Looker Inc. / Apache Calcite); Kathryn Knight (Oak Ridge National Laboratory ); Kenneth Knowles (Google Inc. / Apache Beam)
  • X-Engine: An Optimized Storage Engine for Large-scale E-Commerce Transaction Processing
    Gui Huang (Alibaba Group); Xuntao Cheng (Alibaba Group); Jianying Wang (Alibaba Group); Yujie Wang (Alibaba Group); Dengcheng He (Alibaba Group); Tieying Zhang (Alibaba Group); Feifei Li (Alibaba Group); Sheng Wang (Alibaba Group); Wei Cao (Alibaba Group); Qiang Li (Alibaba Group)
  • Entity Matching Meets Data Science: A Progress Report from the Magellan Project
    Yash Govind (University of Wisconsin - Madison); Pradap Konda (UW-Madison); Paul Suganthan G C (Google); Philip Martinkus (University of Wisconsin - Madison); Palaniappan Nagarajan (University of Wisconsin - Madison); Aravind Soundararajan (University of Wisconsin - Madison); Han Li (UW-Madison); Sidharth Mudgal (University of Wisconsin-Madison); Jeff Ballard (University of Wisconsin - Madison); HAOJUN ZHANG (UW-Madison); Adel Ardalan (University of Wisconsin-Madison); Sanjib Das (University of Wisconsin - Madison); Derek Paulsen (University of Wisconsin-Madison); Amanpreet Singh Saini (University of Wisconsin-Madison); Erik Paulson (University of Wisconsin - Madison); Youngchoon Park (Johnson Controls); Marshall Carter (American Family Insurance); Mingju Sun (American Family Insurance); Glenn M Fung (American Family Insurance); AnHai Doan (UW-Madison)
  • Automatically Generating Interesting Facts from Wikipedia Tables
    Flip Korn (Google, USA); Xuezhi Wang (Google); You Wu (Google); Cong Yu (Google)
  • Nanosecond Indexing of Graph Data With Hash Maps and VLists
    Andrew Carter (Linkedin); Scott Meyer (Linkedin); Andrew Rodriguez (Linkedin); Yiming Yang (Linkedin)
  • Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing
    Jesús Camacho-Rodríguez (Hortonworks Inc.); Ashutosh Chauhan (Hortonworks Inc.); Alan Gates (Hortonworks); Eugene Koifman (Hortonworks); Owen O'Malley (Hortonworks); Vineet Garg (Hortonworks Inc.); Zoltan Haindrich (Hortonworks Inc.); Sergey Shelukhin (Hortonworks Inc.); Prasanth Jayachandran (Hortonworks Inc.); Siddharth Seth (Hortonworks Inc.); Deepak Jaiswal (Hortonworks Inc.); Slim Bouguerra (Hortonworks Inc.); Nishant Bangarwa (Hortonworks Inc.); Sankar Hariappan (Hortonworks Inc.); Anishek Agarwal (Hortonworks Inc.); Jason Dere (Hortonworks Inc.); Daniel Dai (Hortonworks Inc.); Thejas Nair (Hortonworks Inc.); Nita Dembla (Hortonworks Inc.); Gopal Vijayaraghavan (Hortonworks); Günther Hagleitner (Hortonworks Inc.)
  • CFS: A Distributed File System for Large Scale Container Platforms
    Haifeng Liu (JD.com & University of Science and Technology of China), Wei Ding (JD.com Silicon Valley R&D Center), Yuan Chen (JD.com Silicon Valley R&D Center), Weilong Guo (JD.com), Shuoran Liu (JD.com), Tianpeng Li (JD.com), Mofei Zhang (JD.com), Jianxing Zhao (JD.com), Hongyin Zhu (JD.com), Zhengyi Zhu (JD.com)
  • Socrates: The New SQL Server in the Cloud
    Panagiotis Antonopoulos (Microsoft); Alex Budovski (Microsoft); Cristian Diaconu (Microsoft); Alejandro Hernandez (Microsoft); Jack Hu (Microsoft); Hanuma Kodavalla (Microsoft); Donald Kossmann (Microsoft Research); Umar Farooq Minhas (Microsoft Research); Naveen Prakash (Microsoft); Vijendra Purohit (Microsoft); Hugh Qu (Microsoft); Chaitanya Sreenivas Ravella (Microsoft); Krystyna Reisteter (Microsoft); Sheetal Shrotri (Microsoft); Dixin Tang (University of Chicago); Vikram Wakade (Microsoft)
  • ExplainIt! -- A declarative root-cause analysis engine for time series data
    Vimalkumar Jeyakumar (Cisco Tetration Analytics); Omid Madani (Cisco Tetration Analytics); Ali Parandehgheibi (Cisco Tetration Analytics); Ashutosh Kulshreshtha (Cisco Tetration Analytics); Weifei Zeng (Cisco Tetration Analytics); Navindra Yadav (Cisco Tetration Analytics)
  • Implementation of Cluster-wide Logical Clock and Causal Consistency in MongoDB
    Misha Tyulenev (MongoDB, Inc); Andy Schwerin (MongoDB, Inc); Asya Kamsky (MongoDB, Inc); Randolph Tan (MongoDB, Inc); Alyson Cabral (MongoDB, Inc); Jack Mulrow (MongoDB, Inc)
  • Data Platform for Machine Learning
    Ming-Chuan Wu (Apple); Rajat Arya (Apple); Sandeep Bhatia (Apple); Kaiyu Zhao (Apple); Pulkit Agrawal (Apple); Aanchal Bindal (Apple); Anupriya Gagneja (Apple); Joseph Godlewski (Apple); Yucheng Low (Apple); Tim Muss (Apple); Mudit Manu Paliwal (Apple); Sethu Raman (Apple); Vishrut Shah (Apple); Bochao Shen (Apple); Laura Sugden (Apple)