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Proceedings of the 2022 International Conference on Management of Data
DB-BERT is a database tuning tool that exploits information gained via natural language analysis of manuals and other relevant text documents. It uses text to identify database system parameters to tune as well as recommended parameter values. DB-BERT applies large, pre-trained language models (specifically, the BERT model) for text analysis. During an initial training phase, it fine-tunes model weights in order to translate natural language hints into recommended settings. At run time, DB-BERTdoi:10.1145/3514221.3517843 fatcat:lfcalsmonrcnvkvt7oevdeaqsi