User-defined functions (UDFs) have been widely used to overcome the expressivity
limitations of SQL and complement its declarative nature with functional capabilities. UDFs …

There is an abundance of data, but a large volume of it is unusable. Data may be noisy,
unstructured, stored in incompatible for direct analysis medium or format, and often …

Many big data systems are written in languages such as C, C++, Java, and Scala to process
large amounts of data efficiently, while data analysts often use Python to conduct data …

A recent trend in data management research investigates whether machine learning
techniques could improve or replace core components of traditional database architectures …

This article presents Sharing User-Defined Aggregate Function (SUDAF), a declarative
framework that allows users to write User-defined Aggregate Functions (UDAFs) as …

Modern data applications in areas such as text mining, document analysis, and data
science, involve complex algorithms and logic that cannot be expressed in SQL. Therefore …

Data analytics tasks are often formulated as data workflows represented as directed acyclic
graphs (DAGs) of operators. The recent trend of adopting machine learning (ML) techniques …

Graphs, as an important model capable of describing real-world relationships, are getting
more and more attention from database researchers and developers. DuckPGQ is an …

ABSTRACT We present the Medical Informatics Platform (MIP), an online collaborative
platform for the scientific and medical community. It federates de-centralized patient data …

Many big data systems are written in languages such as C, C++, Java, and Scala for high
efficiency, whereas data analysts often use Python to conduct data wrangling, statistical …