Mainframe, MVS and zOS Discussion

When Hadoop was initially released in 2006, its value proposition was revolutionary—store any type of data, structured or unstructured, in a single repository free of limiting schemas, and process that data at scale across a compute cluster built of cheap, commodity servers. Gone were the days of trying to scale up a legacy data warehouse … Continued
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