Efficient management and exploration of high-volume scientific file repositories have become pivotal for advancement in science. We propose to demonstrate the Data Vault, an extension of the database system architecture that transparently opens scientific file repositories for efficient in-database processing and exploration. The Data Vault facilitates science data analysis using high-level declarative languages, such as the traditional SQL and the novel array-oriented SciQL. Data of interest are loaded from the attached repository in a just-in-time manner without need for up-front data ingestion. The demo is built around concrete implementations of the Data Vault for two scientific use cases: seismic time series and Earth observation...
Nowadays scientists receive increasingly large volumes of data daily. These volumes and accompanying...
Scientific progress often depends on the ability of the scientific community to build on the works o...
One of today‘s challenge is the effective access to scientific data either within research groups or...
Efficient management and exploration of high-volume scientific file repositories have become pivotal...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
In this short paper we outline the Data Vault, a database-attached external file repository. It pro...
Current data-management systems and analysis tools fail to meet scientists' data-intensive needs. A ...
In this short paper we outline the data vault, a database-attached external file repository. It prov...
textabstractIn this short paper we outline the Data Vault, a database-attached external file reposit...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
Research data is being generated at an ever-increasing rate. This brings challenges in how to store,...
Nowadays scientists receive increasingly large volumes of data daily. These volumes and accompanying...
Managing scientific data has been identified by the scientific community as one of the most importan...
Scientific experiments and large-scale simulations produce massive amounts of data. Many of these sc...
Nowadays scientists receive increasingly large volumes of data daily. These volumes and accompanying...
Scientific progress often depends on the ability of the scientific community to build on the works o...
One of today‘s challenge is the effective access to scientific data either within research groups or...
Efficient management and exploration of high-volume scientific file repositories have become pivotal...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
In this short paper we outline the Data Vault, a database-attached external file repository. It pro...
Current data-management systems and analysis tools fail to meet scientists' data-intensive needs. A ...
In this short paper we outline the data vault, a database-attached external file repository. It prov...
textabstractIn this short paper we outline the Data Vault, a database-attached external file reposit...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
Current data-management systems and analysis tools fail to meet scientists’ data-intensive needs. A ...
Research data is being generated at an ever-increasing rate. This brings challenges in how to store,...
Nowadays scientists receive increasingly large volumes of data daily. These volumes and accompanying...
Managing scientific data has been identified by the scientific community as one of the most importan...
Scientific experiments and large-scale simulations produce massive amounts of data. Many of these sc...
Nowadays scientists receive increasingly large volumes of data daily. These volumes and accompanying...
Scientific progress often depends on the ability of the scientific community to build on the works o...
One of today‘s challenge is the effective access to scientific data either within research groups or...