VLDB 2022: Tutorials

Machine Programming: Turning Data into Programmer Productivity Wasay Abdul (Intel Labs), Nesime Tatbul (Intel Labs and MIT), and Justing Gottschlich (Merly AI)

Cloud Databases: New Techniques, Challenges, and Opportunities Guoliang Li (Tsinghua University), Haowen Dong (Tsinghua University), and Chao Zhang (Tsinghua University)

Transformers for Tabular Data Representation: A Tutorial on Models and Applications Gilbert Badaro (EURECOM), and Paolo Papotti (Eurecom)

Polyglot Data Management: State-of-the-Art & Open Challenges Felix Kiehn (Universität Hamburg), Mareike Schmidt (Universität Hamburg), Daniel Glake (Universität Hamburg), Fabian Panse (Universität Hamburg), Wolfram Wingerath (University of Oldenburg), Benjamin Wollmer (University of Hamburg), Martin Poppinga (Universität Hamburg), and Norbert Ritter (Universität Hamburg)

Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges Amine Mhedhbi (University of Waterloo), and Semih Salihoglu (University of Waterloo)

The Past, Present and Future of Indexing on Persistent Memory Kaisong Huang (Simon Fraser University), Yuliang He (Simon Fraser University), and Tianzheng Wang (Simon Fraser University)

Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques Yixiang Fang (School of Data Science, The Chinese University of Hong Kong, Shenzhen), Wensheng Luo (School of Data Science, The Chinese University of Hong Kong, Shenzhen), and Chenhao Ma (The University of Hong Kong)

Unified Data Analytics: State-of-the-art and Open Problems Zoi Kaoudi (TU Berlin), and Jorge Arnulfo Quiane Ruiz (TU Berlin)

From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management Immanuel Trummer (Cornell)