Big data : concepts, warehousing, and analytics /

"This book addresses models and methods for designing and implementing big data systems to support mixed and complex decision processes, giving special attention to big data warehouses as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analy...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Santos, Maribel Yasmina (Author), Costa, Carlos (Author)
Format: Electronic eBook
Language:Inglés
Published: Gistrup, Denmark : River Publishers, [2020]
Series:River Publishers Series in Information Science and Technology Ser.
Subjects:
Big data.
Data warehousing.
Data mining.
Data Mining
Données volumineuses.
Entrepôts de données (Informatique)
Exploration de données (Informatique)
Livres numériques.
e-books.
Big data
Data mining
Data warehousing
Online Access:Texto completo
Table of Contents:
  • 1. Introduction
  • 2. Big data concepts, techniques, and technologies
  • 3. OLTP-oriented databases for big data environments
  • 4. OLAP-oriented databases for big data environments
  • 5. Design and implementation of big data warehouses
  • 6. Big data warehouses modeling: from theory to practice
  • 7. Fueling analytical objects in big data warehouses
  • 8. Evaluating the performance of big data warehouses
  • 9. Big data warehousing in smart cities
  • 10. Conclusion.

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