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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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發(fā)表于 2025-3-21 16:41:14 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Business Intelligence for the Real-Time Enterprise
期刊簡稱Second International
影響因子2023Malu Castellanos,Umesh Dayal,Timos Sellis
視頻videohttp://file.papertrans.cn/193/192225/192225.mp4
學(xué)科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Intelligence for the Real-Time Enterprise; Second International Malu Castellanos,Umesh Dayal,Timos Sellis Conference proceedings 2
影響因子In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and 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 insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particul
Pindex Conference proceedings 2009
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QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition,ts. In this paper, we present a comprehensive overview of the Data Distribution Service standard (DDS) and describe its QoS features for developing real-time applications. An overview of an active real-time database (ARTDB) named Agilor is also provided. For efficient expressing QoS policy in Agilor
地板
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A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo rogram content and advertising in a way that benefits both the business and the end user. This paper describes our legacy architecture, as well as a new, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated,
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A Hybrid Row-Column OLTP Database Architecture for Operational Reporting,idual transactions. It is often not desirable to maintain data on such detailed level in the data warehouse, due to both exploding size of the warehouse and the update frequency required for operational reports. Using an ODS as the source for operational reporting exhibits a similar information late
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發(fā)表于 2025-3-22 15:18:15 | 只看該作者
The Reality of Real-Time Business Intelligence,n. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and busin
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Scalable Data-Intensive Analytics, 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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Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration,ma mappings. We now use Clio as part of a broader data-flow framework in which mappings are just one component. These data-flows express complex transformations between several source and target schemas and require multiple mappings to be specified. This paper describes research issues we have encou
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