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|Speed up Big Data Analysis with Hadoop-based Distributed Processing|
A correctly setup Hadoop cluster can analyze a human genome in hours, while a poorly optimized one will take days and use twice as many nodes. Although Hadoop is a free product, potential issues are many. Even a slight error in your algorithm can introduce significant inaccuracies into end results. Other common pitfalls include peculiarities of different OS and distributions, problems with assembling clusters, virtualization, etc.
Scale to petabytes of data and hundreds of nodes
Serving leading technology vendors, such as Joyent, Couchbase, RightScale, and others, Altoros helps to implement scalable Hadoop-based solutions for data mining, analysis, visualization, etc.
Hadoop-based solutions from cluster monitoring to machine learning:View all featured Hadoop projects