Dublin Core
Title
A global data warehouse for astronomy
Subject
Data Warehouse
Big Data
Catalogs
NoSQL
Cassandra and Spark
620
Ingeniería
Description
Tesis (Master of Science in Engineering)--Pontificia Universidad Católica, 2022
There have been many attempts to gather and integrate numerous astronomical data
sources to create a centralized, organized and consolidated database with visualization and
analysis add-on tools. Unfortunately, most of those attempts have been inefficient, mainly,
because they lack a holistic scheme that allows for heterogeneous data integration, highlevel
pre-processing and visualization capabilities within the same structure. In industry,
the same problem was tackled back in 1960, where the concept of the Data Warehouse
was introduced as the most promising solution for the majority of the organizations. In
this paper, we bring Data Warehousing to astronomy in theory and practice. We develop
and implement an integrated astronomical Data Warehouse that allows users to visually
process and analyze astronomical data in real time, narrowing down exploratory analyses,
and providing an active interaction with data. In the current version, we implement a twolayer-
based architecture that provides an interactive and user-friendly environment, with
advanced visualization capabilities for data manipulation and data mining applied to time
domain astronomy.
sources to create a centralized, organized and consolidated database with visualization and
analysis add-on tools. Unfortunately, most of those attempts have been inefficient, mainly,
because they lack a holistic scheme that allows for heterogeneous data integration, highlevel
pre-processing and visualization capabilities within the same structure. In industry,
the same problem was tackled back in 1960, where the concept of the Data Warehouse
was introduced as the most promising solution for the majority of the organizations. In
this paper, we bring Data Warehousing to astronomy in theory and practice. We develop
and implement an integrated astronomical Data Warehouse that allows users to visually
process and analyze astronomical data in real time, narrowing down exploratory analyses,
and providing an active interaction with data. In the current version, we implement a twolayer-
based architecture that provides an interactive and user-friendly environment, with
advanced visualization capabilities for data manipulation and data mining applied to time
domain astronomy.
Creator
Machin Matos, Javier Ismael
Date
2022-10-05T17:01:36Z
2022-10-05T17:01:36Z
2018
Contributor
Pichara Baksai, Karim Elías
Pontificia Universidad Católica de Chile. Escuela de Ingeniería
Rights
acceso abierto
Format
xii, 89 páginas
application/pdf
Language
en
Type
tesis de maestría
Identifier
10.7764/tesisUC/ING/64979
https://doi.org/10.7764/tesisUC/ING/64979
https://repositorio.uc.cl/handle/11534/64979