会议专题

Efficient Data Streams Processing in the Real Time Data Warehouse

Today many business applications are generating fast, multiple, continuous and time varying data streams |2 | which are not manageable from available ETL (Extraction, Transformation and Loading) technology. This work gives architecture to extend the real time data warehouse for efficient handling of data streams while keeping traditional functionalities. The paper focuses on the data stream processing part of the architecture. The data stream processor constructed with the combination of mature techniques performs data stream processing reliably. It ensures synchronization of the data streams processing with the pace of the incoming data streams from source applications.

Data warehouse Real-time active databases data streams

Fiaz Majeed Muhammad Sohaib Mahmood Mujahid Iqbal

Computer Science Department COMSATS Institute of Information Technology Lahore,Pakistan

国际会议

2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

成都

英文

57-61

2010-07-07(万方平台首次上网日期,不代表论文的发表时间)