Abstract

Data compress for object oriented data warehousing. A data warehouse is an essential component to the decision support system. The traditional data warehouse provides only numeric and character data analysis. But as information technologies progress, complex data such as semi-structured and unstructured data become vastly used. Data Compression is of interest in business data warehousing, both because of the cost saving it offers and because of the large volume of data manipulated in many business application.[3],[5]. The entropy is used in many areas such as image processing, document images. But in our research we used the entropy in object oriented data warehousing. Creation of different sizes of databases in oracle. Employment of object oriented programming for compression using Datawarehousing.

How to Cite
MRS PUSHPA SURI ,MRS. MEENAKSHI SHARMA, Dr.. Comparison of Time Taken And Compression Efficiency For Different Sizes of Databases. Global Journal of Computer Science and Technology, [S.l.], dec. 1969. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/835>. Date accessed: 25 jan. 2021.