Hadoop Adoption Accelerates, But Not For Data Analytics


See on Scoop.itData Nerd’s Corner

While Hadoop vendors like to point to the technology’s capabilities in Big Data analytics, the reality is that today’s Hadoop adoption is almost entirely low-cost data storage and ETL. Is this a bad thing?

Carla Gentry CSPO‘s insight:

‘Poor Man’s ETL’, ‘Unsupervised Digital Landfill’, Or Both?

While commonly billed as an analytics tool, Hadoop remains "a poor man’s ETL" for the vast majority of enterprises. Yes, there are enterprises running interesting analytical workloads on Hadoop, but these are the exception, not the rule. Hence, while Cloudera cites three common use cases for Hadoop (data transformation, archiving, and exploration, I’m hearing from analysts that 75% or more of the actual Hadoop adoption resides in those first two use cases.

See on readwrite.com

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