A distributed data warehouse system for astroparticle physics

TL;DR

This paper presents a distributed data warehouse system tailored for astroparticle physics experiments, enabling efficient on-demand data access and integration across multiple large-scale data sources.

Contribution

It introduces a novel implementation using CernVM-FS with custom components for data search and subset delivery, enhancing data accessibility for scientists.

Findings

Efficient on-demand data retrieval from multiple experiments.

User-friendly interface for data access with proper permissions.

Integration of data sets across experiments for comprehensive analysis.

Abstract

A distributed data warehouse system is one of the actual issues in the field of astroparticle physics. Famous experiments, such as TAIGA, KASCADE-Grande, produce tens of terabytes of data measured by their instruments. It is critical to have a smart data warehouse system on-site to store the collected data for further distribution effectively. It is also vital to provide scientists with a handy and user-friendly interface to access the collected data with proper permissions not only on-site but also online. The latter case is handy when scientists need to combine data from different experiments for analysis. In this work, we describe an approach to implementing a distributed data warehouse system that allows scientists to acquire just the necessary data from different experiments via the Internet on demand. The implementation is based on CernVM-FS with additional components developed by us to search through the whole available data sets and deliver their subsets to users' computers.