168,69 €
Big Data
Big Data
168,69 €
  • Išsiųsime per 14–16 d.d.
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data mana…
168.69
  • Leidėjas:
  • ISBN-10: 0128053941
  • ISBN-13: 9780128053942
  • Formatas: 19.1 x 23.5 x 2.5 cm, minkšti viršeliai
  • Kalba: Anglų

Big Data + nemokamas atvežimas! | knygos.lt

Atsiliepimai

(3.67 Goodreads įvertinimas)
Įvertink ir tu! Visi atsiliepimai

Aprašymas

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.

To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

168,69 €
Išsiųsime per 14–16 d.d.
Prisijunkite ir už šią prekę
gausite 1,69 Knygų Eurų!?

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.

To help realize Big Data's full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
× promo banner