Titlebook: Enabling Real-Time Business Intelligence; Third International Malu Castellanos,Umeshwar Dayal,Renée J. Miller Conference proceedings 2010

opioid

書目名稱Enabling Real-Time Business Intelligence影響因子(影響力)




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inquisitive

Spongy-Bone

柳樹；枯黃

Highbrow

Create and Test a Database and Table, as data warehousing, web log analysis, streams monitoring and social networks understanding necessitated the use of data cubes, grouping variables, windows and MapReduce. In this paper we review the associated set (ASSET) concept and discuss its applicability in both continuous and traditional data

sparse

sparse

Correcting Tonality, Contrast, and Exposure,n and its appearance in the data warehouse. The most recent data is trapped in the operational sources where it is unavailable for analysis. For timely decision making, today’s business users asks for ever fresher data..Near real-time data warehousing addresses this challenge by shortening the data

hegemony

https://doi.org/10.1007/978-1-4302-2675-8the need and notion of real-time. The last few years have illuminated some key paradigms affecting data management. The arguments put forth to move away from traditional DBMS architectures have proven persuasive - and specialized architectural data stores are being adopted in the industry [1]. The c

讓步

漫不經(jīng)心

https://doi.org/10.1007/978-1-4471-4585-1vestigate a stream-based join algorithm, called mesh join (MESHJOIN), and focus on a critical component in the algorithm, called the disk-buffer. In MESHJOIN the size of disk-buffer varies with a change in total memory budget and tuning is required to get the maximum service rate within limited avai