tauJSchema is a framework for managing time-varying JSON-based big data, in temporal JSON NoSQL databases, through the use of a temporal JSON schema. This latter ties together a conventional JSON schema and its corresponding temporal logical and temporal physical characteristics set. In our previous work, we have proposed low-level operations for changing the components of a tauJSchema schema, which are not very friendly for users (database administrators) as they are too primitive. In this paper, we propose three sets of high-level operations for changing the temporal JSON schema, the conventional JSON schema, and the temporal characteristics. These high-level operations are based on our previously proposed low-level operations. They are also consistency-preserving and more user-friendly than the low-level ones. To improve the readability of their definitions, we have divided these new operations into two classes: basic high-level operations, which cannot be defined through other basic high-level operations, and complex ones.

Brahmia, Z., Brahmia, S., Grandi, F., Bouaziz, R. (2021). Versioning Schemas of JSON-based Conventional and Temporal Big Data through High-level Operations in the TJSchema Framework. INTERNATIONAL JOURNAL OF CLOUD COMPUTING, 10(5-6), 442-479 [10.1504/IJCC.2021.120386].

Versioning Schemas of JSON-based Conventional and Temporal Big Data through High-level Operations in the TJSchema Framework

Grandi, Fabio;
2021

Abstract

tauJSchema is a framework for managing time-varying JSON-based big data, in temporal JSON NoSQL databases, through the use of a temporal JSON schema. This latter ties together a conventional JSON schema and its corresponding temporal logical and temporal physical characteristics set. In our previous work, we have proposed low-level operations for changing the components of a tauJSchema schema, which are not very friendly for users (database administrators) as they are too primitive. In this paper, we propose three sets of high-level operations for changing the temporal JSON schema, the conventional JSON schema, and the temporal characteristics. These high-level operations are based on our previously proposed low-level operations. They are also consistency-preserving and more user-friendly than the low-level ones. To improve the readability of their definitions, we have divided these new operations into two classes: basic high-level operations, which cannot be defined through other basic high-level operations, and complex ones.
2021
Brahmia, Z., Brahmia, S., Grandi, F., Bouaziz, R. (2021). Versioning Schemas of JSON-based Conventional and Temporal Big Data through High-level Operations in the TJSchema Framework. INTERNATIONAL JOURNAL OF CLOUD COMPUTING, 10(5-6), 442-479 [10.1504/IJCC.2021.120386].
Brahmia, Zouhaier; Brahmia, Safa; Grandi, Fabio; Bouaziz, Rafik
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/859449
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