  In this research paper so as to handle Data in warehousing as well as reduce
the wastage of data and provide a better results which takes more and more turn
into a focal point of the data source business. Data warehousing and on-line
analytical processing (OLAP) are vital fundamentals of resolution hold, which
has more and more become a focal point of the database manufacturing. Lots of
marketable yield and services be at the present accessible, and the entire
primary database management organization vendor nowadays have contributions in
the area assessment hold up spaces some quite dissimilar necessities on record
technology compare to conventional on-line transaction giving out application.
This article gives a general idea of data warehousing and OLAP technologies,
with the highlighting on top of their latest necessities. So tools which is
used for extract, clean-up and load information into back end of a information
warehouse; multidimensional data model usual of OLAP; front end client tools
for querying and data analysis; server extension for proficient query
processing; and tools for data managing and for administration the warehouse.
In adding to survey the circumstances of the art, this article also identify a
number of capable research issue, a few which are interrelated to data wastage
troubles. In this paper use some new techniques to reduce the wastage of data,
provide better results. In this paper take some values, put in anova table and
give results through graphs which shows performance.
