12-06-2012, 05:50 PM
Paper on DATA WAREHOUSE AND DATA MINING
DATA WAREHOUSE AND DATA MINING.doc (Size: 647.5 KB / Downloads: 61)
A B S T R A C T
Organizations are today suffering from a malaise of data overflow. The developments in the transaction processing technology has given rise to a situation where the amount and rate of data capture is very high, but the processing of this data into information that can be utilized for decision making, is not developing at the same pace. Data warehousing and data mining (both data & text) provide a technology that enables the decision-maker in the corporate sector/govt. to process this huge amount of data in a reasonable amount of time, to extract intelligence/knowledge in a near real time.
I N T R O D U C T I O N:-
Organizations have lately realized that just processing transactions and/or information’s faster and more efficiently, no longer provides them with a competitive advantage vis-à-vis their competitors for achieving business excellence. Information technology (IT) tools that are oriented towards knowledge processing can provide the edge that organizations need to survive and thrive in the current era of fierce competition.
Evolution of Information Technology Tools
The evolution of the information systems characterize the evolution of systems from data maintenance systems, to systems that transform the data into "information" for use in the decision making process. These systems supported the information acquisition.
What is Data-Warehousing ?
Data warehousing is an information infrastructure based on detail data that supports the decision-making process and provides businesses the ability to access and analyze data to increase an organization's competitive advantage.
Data warehousing is a process, not an off-the-shelf solution you buy, but hardware--database and tools integrated into an evolving information infrastructure--that changes with the dynamics of the business.
The Data Warehouse
It self is the bridge between the operational systems and the decision support tools. It holds a copy of much of the operational system data in a logical structure which is more conducive to analysis. The Data Warehouse, which will be refreshed in scheduled bursts from operational systems and from relevant external data sources, provides a single, consistent view of corporate data, leaving operational systems.