What question did this study set out to answer?

The aim is to examine key papers that marked significant changes in data management practices.

January 24, 2026

Reminiscences on Influential Papers

PTPınar TözünIT University of Copenhagen

Key Points

The aim is to examine key papers that marked significant changes in data management practices.
Review of paradigm-shifting works in data management.
Discussion of systems beyond traditional frameworks.
Invitations for community contributions on related topics.
Highlighting the transition from relational models to more complex data systems.
Discussing improvements in performance optimization techniques.
Emphasizing the growth beyond small-scale data considerations.

Abstract

This issue's contributors cover works that are results of paradigm shifts where data-intensive systems expanded beyond relational model, disk-based performance optimizations, one-dimensional data, and ''small'' scale. Enjoy reading! While I will keep inviting members of the data management community, and neighboring communities, to contribute to this column, I also welcome unsolicited contributions. Please contact me if you are interested.

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