Skip to content
VuFind
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
Napredno
  • Data Governance and Data Manag...
  • Citiraj
  • Pošljite SMS
  • Pošljite email
  • Natisni
  • Izvozi zadetek
    • Izvozi v RefWorks
    • Izvozi v EndNoteWeb
    • Izvozi v EndNote
  • Permanent link
Data Governance and Data Management Contextualizing Data Governance Drivers, Technologies, and Tools /

Data Governance and Data Management Contextualizing Data Governance Drivers, Technologies, and Tools /

Bibliografske podrobnosti
Glavni avtor: Mahanti, Rupa (Author)
Korporativna značnica: SpringerLink (Online service)
Izvleček:XXXIII, 195 p. 40 illus., 38 illus. in color.
text
Jezik:angleščina
Izdano: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Izdaja:1st ed. 2021.
Teme:
Business information services.
Data protection.
Quantitative research.
Data mining.
Corporate governance.
IT in Business.
Data and Information Security.
Data Analysis and Big Data.
Data Mining and Knowledge Discovery.
Corporate Governance.
Online dostop:https://doi.org/10.1007/978-981-16-3583-0
Format: Elektronski eKnjiga
  • Zaloga
  • Opis
  • Kazalo
  • Podobne knjige/članki
  • Knjižničarski pogled

Internet

https://doi.org/10.1007/978-981-16-3583-0

Podobne knjige/članki

  • Data Governance and Compliance Evolving to Our Current High Stakes Environment /
    od: Mahanti, Rupa
    Izdano: (2021)
  • Data Governance Success Growing and Sustaining Data Governance /
    od: Mahanti, Rupa
    Izdano: (2021)
  • Data Science and Big Data Analytics Proceedings of IDBA 2023 /
    Izdano: (2024)
  • Social Media Communication Data for Recovery Detecting Socio-Economic Activities Following a Disaster /
    od: Shibuya, Yuya
    Izdano: (2020)
  • Data Science and Big Data Analytics ACM-WIR 2018 /
    Izdano: (2019)