Data warehouse (DW) can be defined as a huge amount of data accumulated from a wide range of sources within a corporation and often used to guide management decisions. To avoid complex query evaluation based on already existing master table to increase the speed of queries posted to a data warehouse, we can use an already created snapshot results from the query processing stored in the data warehouse called materialized views. Appropriate Materialized views selection is one of the fragile and important decisions in designing a data warehouse for better efficiency and plays a vital role for successful business application. Materialized view creation and preservation are found extremely useful in quick query processing for data centric environment.
In this paper, our main focus is on a variety of techniques that are implemented in past, recent for the selection and preservation of materialized view. Second, the most serious issues related to maintaining the created materialized view for effective query maintenance strategy are also discussed in this paper.