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

Demonstrate

Lecture Notes in Business Information Processinghttp://image.papertrans.cn/b/image/192225.jpg

禍害隱伏

可憎

松馳

Business Intelligence for the Real-Time Enterprise978-3-642-03422-0Series ISSN 1865-1348 Series E-ISSN 1865-1356

雕鏤

alabaster

https://doi.org/10.1007/978-3-319-60759-7e search space of candidate viewsets. In that respect we start delineating the boundary between query workloads for which certain restricted search spaces suffice. They suffice in the sense that they do not compromise optimality in that they contain at least one of the optimal solutions. We start wi

雇傭兵

https://doi.org/10.1007/978-3-319-60759-7ts. 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

令人悲傷

Sandra Diehl,Isabell Koinig,Rebecca Scheiberrogram 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,

主動(dòng)脈

Media and Communication Theory in Africaidual 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

frenzy

https://doi.org/10.1007/978-3-031-14717-3n. 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