Challenges & Opportunities in Automating DBMS: A Qualitative Study

Yifan Wang, Pierre Bourhis, Romain Rouvoy, Patrick Royer

Abstract

Background. In recent years, the volume and complexity of data handled by Database Management Systems (DBMS) have surged, necessitating greater efforts and resources for efficient administration. In response, numerous automation tools for DBMS administration have emerged, particularly with the progression of AI and machine learning technologies. However, despite these advancements, the industry-wide adoption of such tools remains limited.

BibTeX

@inproceedings{Wang-al:ASE24,
  author    = {Yifan Wang and
               Pierre Bourhis and
               Romain Rouvoy and
               Patrick Royer},
  title     = {Challenges \& Opportunities in Automating {DBMS:} A Qualitative Study},
  booktitle = {ASE},
  pages     = {2013--2023},
  publisher = {{ACM}},
  year      = {2024},
}

Challenges & Opportunities in Automating DBMS: A Qualitative Study

Abstract

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