Linux clusters are becoming the preferred and most economical choice for enterprise-level scalability, performance, and availability with data warehousing. Topics covered are emergence of enterprise Linux clusters, scalability requirements, grid computing, performance, high availability, total cost of ownership (TOC) benefits, and the suitability of Linux clusters for data warehousing. With Linux clusters, organizations can increase the scalability of operations and make data warehouses available around the clock in an efficient environment. Businesses need not invest in superfluous computing power at high prices, and they can benefit from the reduced cost of open-standards-based components. Customers get all the advantages of a Linux cluster data warehouse without extensive management overhead. The TCO of a Linux cluster-based data warehousing infrastructure is much lower than an identical solution that is deployed on a large symmetric multiprocessing (SMP) device or a proprietary shared-nothing cluster. Available of low-cost Linux servers permits companies to run whole enterprise on large grids, and, with some of the largest Linux clusters in commercial grid computing, data warehouse applications are the driver for adoption of grid computing. Linux is now available from such leading vendors as Red Hat and SuSE, and Linux support is available from major enterprise software/hardware vendors such as Oracle, HP, and IBM.