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Titlebook: Enabling Real-Time Business Intelligence; 5th International Wo Malu Castellanos,Umeshwar Dayal,Wolfgang Lehner Conference proceedings 2012

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21#
發(fā)表于 2025-3-25 05:03:05 | 只看該作者
Introducing Networking and Remoting, a promising approach to enable real-time analytics. In this paper we examine the issue of scaling out memory cache over multiple machines while providing a common data query language with rich expressive power, and allowing the data cached in memory to persist with the ACID properties. Designing an
22#
發(fā)表于 2025-3-25 08:25:42 | 只看該作者
23#
發(fā)表于 2025-3-25 15:41:09 | 只看該作者
24#
發(fā)表于 2025-3-25 16:36:08 | 只看該作者
Developing a Cloud-Native NATS Application, However, finding and defining suitable horizontal and vertical partitions is a daunting task even for experienced DBAs. This is because the DBA has to understand the physical query execution plans for each query in the workload very well to make appropriate design decisions. To facilitate this proc
25#
發(fā)表于 2025-3-25 23:39:44 | 只看該作者
https://doi.org/10.1007/978-1-4842-6246-7ti-criteria decision support (MCDS) queries. Skyline queries are a popular class of MCDS queries that have received a lot of attention recently. However, a vast majority of skyline algorithms focus entirely on the input being a single data set. In this work, we instead focus on supporting the more p
26#
發(fā)表于 2025-3-26 02:36:12 | 只看該作者
27#
發(fā)表于 2025-3-26 06:17:03 | 只看該作者
Assessment of the Renal Patient, powerful would a company’s online presence be if the whole experience were relevant to each of the key visitor types and their needs? Personalization has proven its power in helping companies acquire, engage and retain customers by using the technology to accommodate the differences between individ
28#
發(fā)表于 2025-3-26 09:39:09 | 只看該作者
29#
發(fā)表于 2025-3-26 12:51:01 | 只看該作者
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/e/image/309158.jpg
30#
發(fā)表于 2025-3-26 18:48:17 | 只看該作者
Using MythWeb: A Web Interface to MythTV,sing (MPP), share nothing, scale-out version of SQL Server focused on data warehousing workloads. The product is packaged as a database appliance built on industry standard hardware. We present an overview of the main software and hardware components of the system and an example illustrating its query processing approach.
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