In-database machine learning with SQL on GPUs
In machine learning, continuously retraining a model guarantees accurate predictions based
on the latest data as training input. But to retrieve the latest data from a database, time …
on the latest data as training input. But to retrieve the latest data from a database, time …
Freedom for the sql-lambda: Just-in-time-compiling user-injected functions in postgresql
ME Schüle, J Huber, A Kemper… - Proceedings of the 32nd …, 2020 - dl.acm.org
As part of the code-generating database system HyPer, SQL lambda functions allow user-
defined metrics to be injected into data mining operators during compile time. Since version …
defined metrics to be injected into data mining operators during compile time. Since version …
Recursive SQL and GPU-support for in-database machine learning
In machine learning, continuously retraining a model guarantees accurate predictions based
on the latest data as training input. But to retrieve the latest data from a database, time …
on the latest data as training input. But to retrieve the latest data from a database, time …
[PDF][PDF] Hybrid transactional and analytical processing databases: A systematic literature review
Hybrid Transactional and Analytical Processing databases (HTAP, OLxP) are an emerging
sector of databases combining Online Transactional Processing and Online Analytical …
sector of databases combining Online Transactional Processing and Online Analytical …
In-database machine learning: Gradient descent and tensor algebra for main memory database systems
M Schüle, F Simonis, T Heyenbrock, A Kemper… - 2019 - dl.gi.de
Machine learning tasks such as regression, clustering, and classification are typically
performed outside of database systems using dedicated tools, necessitating the extraction …
performed outside of database systems using dedicated tools, necessitating the extraction …
Recursive sql for data mining
To implement algorithms within database systems beyond the design of SQL as a data
query language, library functions or external tools were used that require the extraction of …
query language, library functions or external tools were used that require the extraction of …
The Power of SQL Lambda Functions.
The Power of SQL Lambda Functions Page 1 The Power of SQL Lambda Functions
Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper …
Maximilian E. Schüle, Dimitri Vorona, Linnea Passing, Harald Lang, Alfons Kemper …
Ja-(zu-) SQL: Evaluation einer SQL-Skriptsprache für Hauptspeicherdatenbanksysteme
Große Datenmengen in Wirtschaft und Wissenschaft werden klassischerweise in
Datenbanksystemen verwaltet. Um die Daten für maschinelles Lernen sowie für die …
Datenbanksystemen verwaltet. Um die Daten für maschinelles Lernen sowie für die …
Adaptive Optimizations for Databases
CM Anneser - 2024 - mediatum.ub.tum.de
This dissertation explores adaptive optimizations for database systems, which take runtime
information like access patterns or hardware utilization into account. We present adaptive …
information like access patterns or hardware utilization into account. We present adaptive …
[PDF][PDF] Blue Elephants Inspecting Pandas
Data preprocessing, the step of transforming data into a suitable format for training a model,
rarely happens within database systems but rather in external Python libraries and thus …
rarely happens within database systems but rather in external Python libraries and thus …