DEEM'22: Data Management for End-to-End Machine Learning

Matthias Boehm, Paroma Varma, Doris Xin

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


The DEEM'22 workshop (Data Management for End-to-End Machine Learning) is held on Sunday June 12th, in conjunction with SIGMOD/PODS 2022. DEEM brings together researchers and practitioners at the intersection of applied machine learning, data management and systems research, with the goal to discuss the arising data management issues in ML application scenarios. The workshop solicits regular research papers (10 pages) describing preliminary and ongoing research results, including industrial experience reports of end-to-end ML deployments, related to DEEM topics. In addition, DEEM 2022 establishes a new paper category for reports on applications and tools (4 pages) as a forum for sharing interesting use cases, problems, datasets, benchmarks, visionary ideas, system designs, and descriptions of system components and tools related to end-to-end ML pipelines. DEEM 2022 received 13 high-quality submissions from Africa, Asia, Europe, and North America, with 5 regular research papers, and 8 reports on applications and tools.

Original languageEnglish
Title of host publicationSIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data
PublisherAssociation of Computing Machinery
Number of pages2
ISBN (Electronic)9781450392495
Publication statusPublished - 10 Jun 2022
Event2022 ACM SIGMOD International Conference on the Management of Data: SIGMOD 2022 - Virtual, Online, United States
Duration: 12 Jun 202217 Jun 2022

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078


Conference2022 ACM SIGMOD International Conference on the Management of Data
Abbreviated titleSIGMOD 2022
Country/TerritoryUnited States
CityVirtual, Online


  • data management
  • machine learning
  • systems

ASJC Scopus subject areas

  • Software
  • Information Systems


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