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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Santos, Maribel Yasmina (Autor), Costa, Carlos (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Gistrup, Denmark : River Publishers, [2020]
Colección:River Publishers Series in Information Science and Technology Ser.
Temas:
Acceso en línea:Texto completo

MARC

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264 1 |a Gistrup, Denmark :  |b River Publishers,  |c [2020] 
264 4 |c ©2020 
300 |a 1 online resource (316 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a River Publishers Series in Information Science and Technology Ser. 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |a "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 analytical problems."--Provided by publisher 
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