Big Data Integration in Cloud Environments: Requirements, Solutions and Challenges
| Autor: | Bruno Defude, Rami Sellami |
|---|---|
| Přispěvatelé: | Centre d’Excellence en Technologies de l’Information et de la Communication (CETIC asbl), Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Télécom SudParis (TSP), Centre National de la Recherche Scientifique (CNRS), Computer engineering series: databases and big data set |
| Rok vydání: | 2018 |
| Předmět: |
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
business.industry Computer science Big data Integration Nosql 020207 software engineering Cloud computing 02 engineering and technology Query language Data science Cloud databases 020204 information systems 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | NoSQL Data Models NoSQL data models: trends and challenges NoSQL data models: trends and challenges, 1, ISTE, pp.93-134, 2018, Computer engineering series: databases and big data set, 978-1-78630-364-6. ⟨10.1002/9781119528227.ch4⟩ |
| DOI: | 10.1002/9781119528227.ch4 |
| Popis: | International audience; This chapter focuses on the existing solutions of the state of the art supporting Big Data integration in cloud environments. Optimization is the ‘holy grail' of database management and, in the context of Big Data integration, it is clearly a major challenge. Choosing one or multiple data stores based on data requirements is a very important step before integrating heterogeneous data stores and deploying and running applications in a Cloud environment. Ruiz‐Alvarez proposes an automatic approach to selecting a cloud storage service according to the application requirements and the storage services capabilities. Object NoSQL Datastore Mapper (ONDM) is a framework aiming to facilitate persistent object storage and retrieval in NoSQL data stores. The chapter presents some substantial work proposing different unified data models to manage heterogeneous data integration. It analyzes how global queries are processed |
| Databáze: | OpenAIRE |
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