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Titlebook: Business Intelligence for the Real-Time Enterprise; Second International Malu Castellanos,Umesh Dayal,Timos Sellis Conference proceedings 2

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发表于 2025-3-25 03:41:17 | 显示全部楼层
Visual Channels (1): Posters and Fine Art the data streams and applying computation to each partition in parallel is the key. Even though the concept of MapReduce has been around for some time and is well known in the functional programming literatures, it is Google which demonstrated that this very high-level abstraction is especially sui
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https://doi.org/10.1007/978-3-031-14717-3igence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.
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The Reality of Real-Time Business Intelligence,igence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.
发表于 2025-3-26 05:08:40 | 显示全部楼层
https://doi.org/10.1007/978-3-319-60759-7ervice compatible to DDS for distributed real-time data acquisition. Furthermore, QRTPS is implemented on Agilor by using objects and RECA rules in Agilor. To illustrate the benefits of QRTPS for real-time data acquisition, an example application is presented.
发表于 2025-3-26 10:57:54 | 显示全部楼层
QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition,ervice compatible to DDS for distributed real-time data acquisition. Furthermore, QRTPS is implemented on Agilor by using objects and RECA rules in Agilor. To illustrate the benefits of QRTPS for real-time data acquisition, an example application is presented.
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1865-1348 trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide
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Sandra Diehl,Isabell Koinig,Rebecca Scheiberew, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated, standardized reporting system on top of a near real-time inter-colo event collection mechanism, Yahoo! is nearing its real-time reporting goals.
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