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Business Intelligence : First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures - Esteban Zimányi
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Business Intelligence : First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures - Livro de bolso

2012, ISBN: 3642273572

[EAN: 9783642273575], Neubuch, [PU: Springer Berlin Heidelberg], DATENVERARBEITUNG / ANWENDUNGEN BETRIEB, VERWALTUNG; INFORMATIONSMANAGEMENT; INFORMATIK WIRTSCHAFTSINFORMATIK; WIRTSCHAFT … mais…

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2012, ISBN: 3642273572

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Business Intelligence - Marie-Aude Aufaure; Esteban Zimányi
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Marie-Aude Aufaure; Esteban Zimányi:
Business Intelligence - Livro de bolso

2012, ISBN: 9783642273575

First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures, Buch, Softcover, 2012, [PU: Springer Berlin], Springer Berlin, 2012

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9783642273575

Dados detalhados do livro - Business Intelligence


EAN (ISBN-13): 9783642273575
ISBN (ISBN-10): 3642273572
Livro de capa dura
Livro de bolso
Ano de publicação: 2012
Editor/Editora: Springer Berlin
205 Páginas
Peso: 0,337 kg
Língua: Englisch

Livro na base de dados desde 2009-06-30T03:38:50-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2022-11-24T08:49:41-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642273575

Número ISBN - Ortografia alternativa:
3-642-27357-2, 978-3-642-27357-5
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: aude, zima, esteban
Título do livro: note information, business intelligence, summer school, paris, july, who who france, the tutorial, this one summer, france than now, france then now, geo 2011, marie france, european

Dados da editora

Autor: Marie-Aude Aufaure; Esteban Zimányi
Título: Lecture Notes in Business Information Processing; Business Intelligence - First European Summer School, eBISS 2011, Paris, France, July 3-8, 2011, Tutorial Lectures
Editora: Springer; Springer Berlin
207 Páginas
Ano de publicação: 2012-01-16
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
IX, 207 p. 44 illus.

BC; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Wirtschaftsmathematik und -informatik, IT-Management; Verstehen; Business Intelligence; Data Warehouses; OLAP - Online Analytical Processing; IT in Business; Computer Application in Administrative Data Processing; Database Management; Information Storage and Retrieval; Unternehmensanwendungen; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; EA

Business Intelligence (BI) promises an organization the capability of collecting and analyzing internal and external data to generate knowledge and value, providing decision support at the strategic, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the evolution of society and users, and needs to take into account high-level semantics, reasoning about unstructured and structured data, and to provide a simplified access and better understanding of diverse BI tools accessible trough mobile devices. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors’, suppliers’, or distributors’ data, governmental or NGO-based analysis and papers, or from research publications.The lectures held at the First European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI technologies like data warehouses, OLAP query processing, or performance issues, but extend into new aspects that are important in this new environment and for novel applications, e.g., semantic technologies, social network analysis and graphs, services, large-scale management, or collaborative decision making.Combining papers by leading researchers in the field, this volume will equip the reader with the state-of-the-art background necessary for inventing the future of BI. It will also provide the reader with an excellent basis and many pointers for further research in this growing field.
First concise and comprehensive introduction to business intelligence (BI) Combines traditional BI technologies with new topics like semantic databases, social network analysis, and cloud computing Contributions conjointly written by leading academic researchers and industrial developers, striving for both high relevance and real-world applicability

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