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Titlebook: Business Intelligence; First European Summe Marie-Aude Aufaure,Esteban Zimányi Textbook 2012 Springer-Verlag GmbH Germany, part of Springer

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期刊全称Business Intelligence
期刊简称First European Summe
影响因子2023Marie-Aude Aufaure,Esteban Zimányi
视频video
发行地址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.Co
学科分类Lecture Notes in Business Information Processing
图书封面Titlebook: Business Intelligence; First European Summe Marie-Aude Aufaure,Esteban Zimányi Textbook 2012 Springer-Verlag GmbH Germany, part of Springer
影响因子.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
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书目名称Business Intelligence被引频次学科排名




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书目名称Business Intelligence读者反馈学科排名




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Data Warehouse Performance: Selected Techniques and Data Structures,ries often scan huge volumes of data and are computationally complex. For this reason, an acceptable (or good) DW performance is one of the important features that must be guaranteed for DW users. Good DW performance can be achieved in multiple components of a DW architecture, starting from hardware
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Service-Oriented Business Intelligence,he number of CPUs, allowed connections, etc. This also holds for Business Intelligence environments. Nevertheless, technologies have evolved and today other approaches are possible. Specifically, the service paradigm allows to outsource hardware as well as software in a pay-as-you-go model. In this
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