Toward an Anayist-Oriented Polystore Framework for Processing JSON Geo-Data

Psaila, Giuseppe; Fosci, Paolo

Geo-data sets represented as JSON documents are provided by many sources over the Internet. Consequently, many storage technologies are adopted for managing them, namely NoSQL databases such are MongoDB and ElasticSearch. To allow analysts to effectively perform complex analysis processes, such as integration and transformations possibly based on spatial properties, a framework that provides a unified view of different database systems based on different technology is necessary, so that analysts are unaware of specific characteristics of different database systems. In other words, we follow a polystore approach. The presented framework, named J-CO, provides a query language and an execution engine that, together, enable analysts to specify complex transformation processes on JSON geo-data sets. High-level operator natively support spatial operations, and completely hide technical details of the integrated database systems. This way, a novel data store component, named J-CO-DS, can be seamlessly introduced, to overcome limitations characterizing other NoSQL database systems. The paper presents the framework and the novel features (w.r.t. our previous works); then, it shows the effectiveness of the framework itself through an example.

(2018). Toward an Anayist-Oriented Polystore Framework for Processing JSON Geo-Data . Retrieved from http://hdl.handle.net/10446/131789

Titolo:	Toward an Anayist-Oriented Polystore Framework for Processing JSON Geo-Data
Tutti gli autori:	Psaila, Giuseppe; Fosci, Paolo
Data di pubblicazione:	2018
Abstract (eng):	Geo-data sets represented as JSON documents are provided by many sources over the Internet. Consequently, many storage technologies are adopted for managing them, namely NoSQL databases such are MongoDB and ElasticSearch. To allow analysts to effectively perform complex analysis processes, such as integration and transformations possibly based on spatial properties, a framework that provides a unified view of different database systems based on different technology is necessary, so that analysts are unaware of specific characteristics of different database systems. In other words, we follow a polystore approach. The presented framework, named J-CO, provides a query language and an execution engine that, together, enable analysts to specify complex transformation processes on JSON geo-data sets. High-level operator natively support spatial operations, and completely hide technical details of the integrated database systems. This way, a novel data store component, named J-CO-DS, can be seamlessly introduced, to overcome limitations characterizing other NoSQL database systems. The paper presents the framework and the novel features (w.r.t. our previous works); then, it shows the effectiveness of the framework itself through an example.
Nelle collezioni:	1.4.01 Contributi in atti di convegno - Conference presentations

File allegato/i alla scheda:

File	Descrizione	Tipologia	Licenza
Fosci_Psaila.pdf		publisher's version - versione editoriale	Licenza default Aisberg	Testo non consultabile

Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/10446/131789

Citazioni