SIGMOD 2019: Accepted Tutorials

  • Data Pipelines for User Group Analytics
    Behrooz Omidvar-Tehrani (University of Grenoble Alpes); Sihem Amer-Yahia (University of Grenoble Alpes, CNRS)
    Sunday, morning
  • Database and Distributed Computing Foundations of Blockchains
    Sujaya Maiyya (University of Colifornia Santa Barbara); Victor Zakhary (University of Colifornia Santa Barbara); Mohammad Javad Amiri (University of Colifornia Santa Barbara); Divyakant Agrawal (University of Colifornia Santa Barbara); Amr El Abbadi (University of Colifornia Santa Barbara)
    Sunday, afternoon
  • Exploring the Data Wilderness through Examples
    Davide Mottin (Aarhus University); Matteo Lissandrini (Aalborg University); Yannis Velegrakis (Utrecht University); Themis Palpans (Paris Descartes University)
    Friday, morning
  • Classical and Contemporary Approaches to Big Time Series Forecasting
    Christos Faloutsos (CMU/Amazon Research); Jan Gasthaus (Amazon Research); Tim Januschowski (Amazon Research); Yuyang Wang (Amazon Research)
    Friday, morning
  • From Auto Tuning One Size Fits All to Self-designed ands Learned Data Intensive Systems
    Stratos Idreos (Harvard); Tim Kraska (MIT)
    Friday, morning
  • Towards Democratizing Relational Data Visualizations
    Nan Tang (Qatar Computing Rsearch Insitute); Eugene Wu (Columbia University); Guoliang Li (Tsinghua University)
    Friday, afternoon
  • Schemas and Types for JSON Data: From Theory to Practice
    Mohamed-Amine Baazizi (Sorbonne Université); Dario Colazzo (Université Paris-Dauphine, PSL Research University); Giorgio Ghelli (Università di Pisa); Carlo Sartiani (Università della Basilicata)
    Friday, afternoon