期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：184-187
语种：English
出版社：Ayushmaan Technologies
摘要：Streaming data in system where scheduling of data warehouse with fast change of online content makes the revolution and update of data. In existing scheme the relation of modernize and proportional algorithm does not support multi way join since it support single way join in which update of data is unhurried. Multiple on-line update makes the data query extraction speedy and well-organized. For more competent and more flexibility in scheduling and update in data warehouse Dual Batch is introduced. This minimizes the usage of system resource and sustain multi way join in which very large number of data update and update is fast and time decline. With dual batch system it’s possible to reduce the time and increase the up to date speed and scheduling of data warehouse. This makes the on line update of data and taking out of data fast and efficient. Experimental simulations are carried out to evaluate the performance of future optimization technique with both mock and real data sets in terms of carrying out time, and operational overhead being used to get optimal threshold for multi-relational joins generation.
