Logo del repository
  1. Home
 
Opzioni

Advances in Data Management in the Big Data Era

Azzini A.
•
Barbon Junior S.
•
Bellandi V.
altro
Wrembel R.
2021
  • book part

Abstract
Highly-heterogeneous and fast-arriving large amounts of data, otherwise said Big Data, induced the development of novel Data Management technologies. In this paper, the members of the IFIP Working Group 2.6 share their expertise in some of these technologies, focusing on: recent advancements in data integration, metadata management, data quality, graph management, as well as data stream and fog computing are discussed.
DOI
10.1007/978-3-030-81701-5_4
Archivio
http://hdl.handle.net/11368/3014637
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85112507738
https://link.springer.com/chapter/10.1007/978-3-030-81701-5_4
Diritti
open access
license:copyright editore
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/3014637
Soggetti
  • Data integration

  • Data quality

  • Data stream

  • Fog computing

  • Knowledge graph

  • Metadata

google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback