Managing Temporal and Versioning Aspects of JSON-Based Big Data via the τJSchema Framework

Brahmia, Safa; Brahmia, Zouhaier; Grandi, Fábio; Bouaziz, Rafik

doi:10.1007/978-3-030-12048-1_5

Cited by 7 publications

(15 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed high-level operations are based on the primitives previously provided in (Brahmia et al, 2017(Brahmia et al, , 2018b(Brahmia et al, , 2019a. Since each primitive is consistency preserving (i.e., each primitive applied to a consistent τJSchema schema component generates a consistent τJSchema schema component) and high-level operation will be defined as a sequence of such primitives, our proposed high-level operations will also result consistency preserving.…”

Section: Contributionsmentioning

confidence: 99%

“…Notice that, with respect to our previous works (Brahmia et al, 2017(Brahmia et al, , 2018b(Brahmia et al, , 2019a, the present paper deals with high-level operations that could be exploited by NSDBAs for creating and changing entire schemas in τJSchema-based NoSQL data stores.…”

Section: Contributionsmentioning

confidence: 99%

“…In our previous work (Brahmia et al, 2017) and (Brahmia et al, 2018b(Brahmia et al, , 2019a, we have dealt with schema versioning in the τJSchema framework. In fact, in (Brahmia et al, 2017), we have shown how a conventional JSON schema could be versioned and have proposed two complete and sound sets of low-level operations: one for changing conventional JSON schemas and the other for updating temporal JSON schemas.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, in (Brahmia et al, 2017), we have shown how a conventional JSON schema could be versioned and have proposed two complete and sound sets of low-level operations: one for changing conventional JSON schemas and the other for updating temporal JSON schemas. In (Brahmia et al, 2018b(Brahmia et al, , 2019a, we have enhanced the framework by incorporating the versioning of temporal logical and physical characteristics: we have shown how such characteristics can be versioned and proposed in this direction a complete and sound set of change primitives for their manipulation. In each of these works, we have also illustrated the use of the introduced low-level operations through an application example.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Versioning schemas of JSON-based conventional and temporal big data through high-level operations in the τJSchema framework

Brahmia¹,

Brahmia²,

Grandi³

et al. 2021

IJCC

View full text Add to dashboard Cite

Some rights reserved. The terms and conditions for the reuse of this version of the manuscript are specified in the publishing policy. For all terms of use and more information see the publisher's website. This is the final peer-reviewed author's accepted manuscript (postprint) of the following publication:This item was downloaded from IRIS Università di Bologna (https://cris.unibo.it/).When citing, please refer to the published version.

show abstract

Section: Contributionsmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Versioning schemas of JSON-based conventional and temporal big data through high-level operations in the τJSchema framework

Brahmia¹,

Brahmia²,

Grandi³

et al. 2021

IJCC

View full text Add to dashboard Cite

show abstract

“…As the global players are heading towards the voluminous data from various sources (big data), it is quite important to manage the data effectively from time to time (Brahmia et al, 2019). Discussing the significance of big data analytics in healthcare field, De Silva et al (2015) highlighted that due to the mismatch between the electronic health records data and the format required for big data analytics, the management of healthcare data is not effective.…”

Section: Management Of Big Datamentioning

confidence: 99%

Management of Big Data in the Contemporary World

Jinugu¹,

Kodimela²,

Ml³

2021

Preprint

View full text Add to dashboard Cite

It is strongly believed that technology can reap the best only when it can be tamed by all stakeholders. Big data technology has no exception for this and even after a decade of emergence, the technology is still a herculean task and is in nascent stage with respect to applicability for many people. Having understood the gaps in the technology adoption for big data in the contemporary world, the present exploratory research work intended to highlight the possible prospects of big data technologies. It is also advocated as to how the challenges of various fields can be converted as opportunities with the shift in the perspective towards this evolving concept. Examples of apex organizations like (IMF and ITU) and their initiatives of big data technologies with respect to the Sustainable Development Goals (SDGs) are also cited for a broader outlook. The intervention of the responsible organizations along with the respective governments is also much sought for encouraging the technology adoption across all the sections of the market players.

show abstract