If you limit your analysis of the cloud DW space just to the MS-AWS lobe, you'll miss some important breakthroughs in the market. For example, Microsoft distinguishes its Azure SQL Data Warehouse from ...

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Data clustering, or cluster analysis, is the process of grouping data items so that similar items belong to the same group/cluster. There are many clustering techniques. In this article I'll explain ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

An already-working open source database project could let other web companies join Google for bragging rights as the owners of a thousand-node database cluster. Moving the project from in-house to ...

Emic Networks plans to rename itself Continuent and present a new version of its high-availability database clustering software on Monday. The Emeryville, California, company has made a name for ...

Looking to boost its presence in enterprise applications, MySQL on Wednesday will make the clustered version of its open source database available in a preview version, with the production version set ...

The Wilcoxon rank-sum test is widely used to test the equality of two populations, because it makes fewer distributional assumptions than parametric procedures such as the t-test. However, the ...