Research
Comparison of Time Taken And Compression Efficiency For Different Sizes of Databases
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.
Maintenance Modification Algorithms and its Implementation on object oriented data warehouse
A data warehouse (DW) is a database used for reporting Paper describes Modification Algorithm and implementation on Object Oriented Data Warehousing. A Data Warehouse collects information and data from source data bases to support analytical processing of decision support functions and acts as an information provider. In initial research data warehouses focused on relational data model. In this paper concept of object oriented data warehouse is introduced modification maintenance algorithms and its implementation to maintained consistency between data warehouse and source data base.
