Hadoop Storage: DAS versus shared

Hadoop is a software solution that was developed to solve the challenge of doing a very rapid analysis of vast, often disparate data sets. Also known as big data, the results of these analytics, especially when produced quickly, can significantly improve an organization’s ability to solve problems, create new products and to cure diseases. One of the key tenets of Hadoop is to bring the compute to the storage instead of the storage to the compute. The fundamental belief is that the network in-between compute and storage is too slow, impacting time to results.

Download the full paper to read Storage Switzerlands’s analysis on why moving to shared storage, and software-defined storage in particular, is the right architecture to support Hadoop going forward.

http://www.hedviginc.com/hubfs/Website_Resources/Hadoop_Storage_DAS_versus_Shared_Handout.pdf
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Storage Switzerlands’s analysis on why moving to shared storage, and software-defined storage in particular, is the right architecture for Hadoop.