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Titlebook: Enabling Real-Time Business Intelligence; Third International Malu Castellanos,Umeshwar Dayal,Renée J. Miller Conference proceedings 2010

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書目名稱Enabling Real-Time Business Intelligence
副標(biāo)題Third International
編輯Malu Castellanos,Umeshwar Dayal,Renée J. Miller
視頻videohttp://file.papertrans.cn/310/309160/309160.mp4
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: Enabling Real-Time Business Intelligence; Third International  Malu Castellanos,Umeshwar Dayal,Renée J. Miller Conference proceedings 2010
描述In today’s competitive and highly dynamic environment, organizations need new so- tions to enable them to solve modern business problems and to make decisions using integrated, trustworthy, and up-to-date data. Modern real-time enterprises need to act on events as they happen. They need new, easy-to-use intelligent solutions capable of analyzing heterogeneous real-time enterprise data to provide insight and actionable information at the right time. To enable real-time enterprises, we need fundamental advancements in the science and engineering that underlie intelligent information management including: the management of streaming data; the modeling, analysis and management of unstructured data; along with the integrated use of unstructured, se- structured, and structure data. We need new models and paradigms that raise the level of abstraction used in such critical technologies as ETL, data warehousing, and event and business process modeling. The series of BIRTE workshops aims to provide a forum to discuss and advance the foundational science and engineering required to enable real-time business intel- gence and the novel applications and solutions that build on these foundational
出版日期Conference proceedings 2010
關(guān)鍵詞ETL processing; OLAP - on-line analytical processing; OLTP - online transaction processing; On-Line Ana
版次1
doihttps://doi.org/10.1007/978-3-642-14559-9
isbn_softcover978-3-642-14558-2
isbn_ebook978-3-642-14559-9Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
The information of publication is updating

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Create and Test a Database and Table, as data warehousing, web log analysis, streams monitoring and social networks understanding necessitated the use of data cubes, grouping variables, windows and MapReduce. In this paper we review the associated set (ASSET) concept and discuss its applicability in both continuous and traditional data
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Correcting Tonality, Contrast, and Exposure,n and its appearance in the data warehouse. The most recent data is trapped in the operational sources where it is unavailable for analysis. For timely decision making, today’s business users asks for ever fresher data..Near real-time data warehousing addresses this challenge by shortening the data
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https://doi.org/10.1007/978-1-4302-2675-8the need and notion of real-time. The last few years have illuminated some key paradigms affecting data management. The arguments put forth to move away from traditional DBMS architectures have proven persuasive - and specialized architectural data stores are being adopted in the industry [1]. The c
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https://doi.org/10.1007/978-1-4471-4585-1vestigate a stream-based join algorithm, called mesh join (MESHJOIN), and focus on a critical component in the algorithm, called the disk-buffer. In MESHJOIN the size of disk-buffer varies with a change in total memory budget and tuning is required to get the maximum service rate within limited avai
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