Grid Computing's Role in Data Warehousing Grows
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Overview: The main characteristic of any data warehouse is its ability to hold huge volumes of data while still offering good query performance. It is designed to facilitate the analysis of the organization’s data and generate reports based on the analysis.
To provide better performance to analytical queries of business users, companies keep on adding hardware resources, thereby making the data warehouse system very expensive. Sometimes, the power of these added resources is underutilized. In today’s economic climate, IT organizations need to find ways to maximize the resource utilization they already own, which will reduce cost and improve performance.
To address this issue, IT organizations have started implementing cost-effective, reliable and scalable technology in data warehousing components like ETL tools, databases and reporting tools. One such technology is known as "grid computing," which utilizes the computing power of underutilized resources and makes data processing faster.
This paper discusses how IT organizations face challenges when data volume explodes and how grid technology has proven to be an effective solution to handle this data volume and make data processing faster. Also, this paper throws light on data warehousing products of some of the vendors that have implemented grid technology in their databases and ETL tools to make them respond faster.