Multipoint Bitmap Filter for Large Volume Data Query Processing

Objectives: The major point of introducing e-learning is to overcome and eliminate the hurdles in the existing conventional system and to replace it with a modern state of art demand based system, where a user can choose his requirement instead of wasting time in irrelevant content. The main objective of replacing the system is to provide a user friendly environment and a platform which is reusable in various available environments. Methods/Statistical Analysis: In this paper we proposed Multipoint Bitmap Filter (MBF) provides an interactive user interface which gives a clear way to narrow down the needs of user. Findings: Our proposed system is a naive the Multipoint Bitmap Filter (MBF) method provides user a perfect result oriented system with high level data precision. The method of indexing in the system provides a non-redundant, efficient result in which a user can access the data without any problems. Application/Improvements: In this proposed approach we proved that bitmap filter can stores the large amount of data and uses the column indexing that makes any complex table into simpler one.