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Titlebook: Big Data Analytics and Knowledge Discovery; 21st International C Carlos Ordonez,Il-Yeol Song,Ismail Khalil Conference proceedings 2019 Spri

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21#
發(fā)表于 2025-3-25 03:46:07 | 只看該作者
22#
發(fā)表于 2025-3-25 09:15:27 | 只看該作者
23#
發(fā)表于 2025-3-25 12:54:03 | 只看該作者
24#
發(fā)表于 2025-3-25 16:04:02 | 只看該作者
25#
發(fā)表于 2025-3-25 20:13:28 | 只看該作者
Gianluca Baldassarre,Marco Mirollita sources; its goal is to verify the feasibility and the usefulness of a data integration process that supports situ-specific and large-scale analyses made available by integrating information at different levels of detail.
26#
發(fā)表于 2025-3-26 01:02:20 | 只看該作者
27#
發(fā)表于 2025-3-26 07:02:20 | 只看該作者
https://doi.org/10.1007/978-1-4842-9234-1convergence into Online Analytical Processing (OLAP) DSMS. The discussion is focused on three current solutions: Scuba, Apache Druid, and Apache Pinot in use in large production environments that satisfy the real-time OLAP on streaming data. Finally, a discussion is presented on a potential evolution of OLAP DSMS and open problems.
28#
發(fā)表于 2025-3-26 12:24:27 | 只看該作者
29#
發(fā)表于 2025-3-26 16:32:55 | 只看該作者
30#
發(fā)表于 2025-3-26 20:02:10 | 只看該作者
Democratization of OLAP DSMSconvergence into Online Analytical Processing (OLAP) DSMS. The discussion is focused on three current solutions: Scuba, Apache Druid, and Apache Pinot in use in large production environments that satisfy the real-time OLAP on streaming data. Finally, a discussion is presented on a potential evolution of OLAP DSMS and open problems.
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