Title :
Research on Improved Increment Maintenance in Data Wearhouse
Author :
Fan, Shu-Guo ; Zhang, Yue-Hong
Author_Institution :
Shenyang Normal Univ.,Shenyang, Shenyang, China
Abstract :
Today, In this paper, we describe a new increment maintenance algorithm, which is “increment maintenance algorithm based on multiple delta files”. It makes the smallest result sets of data warehouse loading and maintenance as real. In addition, it adopts multiple tiers infrastructure; by using data warehouse base, it links operation model OLTP environment and DDS/OLAP environment together. In both data warehouse base side and data warehouse side, we all use multiple version control mechanism to get the size of result sets dynamically and in data warehouse side, We use “increment maintenance methodology” at same time. Thereby, during the backend processes maintenance, we can use the smallest result sets for batch loading. Based on this design, it does not affect the data warehouse query operation, and in the meantime, it affects the OLAP and OLTP environment very slightly. This methodology and its infrastructure are very easy to implement and has very useful engineering reference values.
Keywords :
configuration management; data mining; data warehouses; maintenance engineering; transaction processing; OLAP environment; OLTP environment; batch loading; data warehouse; delta file; improved increment maintenance; multiple tier infrastructure; multiple version control mechanism; Algorithm design and analysis; Complexity theory; Data warehouses; Heuristic algorithms; Loading; Maintenance engineering; Process control; Database Warehouse; Increment maintenance; Maintenance technology;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.34