توضیحات
ABSTRACT
This paper provides an overview of Data warehousing, Data Mining, OLAP, OLTP technologies, exploring the features, applications and the architecture of Data Warehousing. The data warehouse supports on-line analytical processing the functional and performance requirements of which are quite different from those of the on-line
transaction processing (OLTP) applications traditionally supported by the operational databases. Data warehouses
(OLAP), provide on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data of varied granularities, which facilitates effective data mining. Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. OLTP is customer-oriented and is used for transaction and query processing by clerks, clients and information technology professionals. An OLAP system is market-oriented and is used for data analysis by knowledge workers, including managers, executives and analysts. Data warehousing and OLAP have emerged as leading technologies that facilitate data storage, organization and then, significant retrieval. Decision support places some rather different requirements on database technology compared to traditional on-line transaction processing applications.
INTRODUCTION
A data warehouse is a “subject-oriented, integrated, time varying, non-volatile collection of data that is used
primarily in organizational decision making. ( Inmon, W.H.,1992) Typically, the data warehouse is maintained separately from the organization’s operational databases. There are many reasons for doing this. The data warehouse supports on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the on-line transaction processing (OLTP) applications traditionally supported by the operational databases.
Year : 2010
Publisher: International Journal on Computer Science and Engineering
By : G.SATYANARAYANA REDDY , RALLABANDI SRINIVASU , M. POORNA CHANDER RAO , SRIKANTH REDDY RIKKULA
File Information : English Language / 9 Page / Size : 475 KB
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سال : 2010
ناشر : International Journal on Computer Science and Engineering
کاری از : G.SATYANARAYANA REDDY , RALLABANDI SRINIVASU , M. POORNA CHANDER RAO , SRIKANTH REDDY RIKKULA
اطلاعات فایل : زبان انگلیسی / 9 صفحه / حجم : 475 KB
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