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Modernize your Data Warehouse with FlashBlade

April 13, 2017

For a number of years, market analysts have been writing about the evolution of traditional data warehouses. It started with the development of a scalable distributed file system for large distributed data-intensive applications (e.g., Google File System).

It continued with new programming frameworks to support the processing and storage of extremely large data sets in a distributed computing environment (Hadoop, Spark, et cetera). And today (2017), we have large data warehouses using all-flash storage devices designed to replace spinning media, commonly used in enterprise storage arrays.

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