UPDATED 15:54 EDT / OCTOBER 16 2014

Hadoop challenges assumptions, old thinking in enterprise | #BigDataNYC NEWS

Hadoop challenges assumptions, old thinking in enterprise | #BigDataNYC

 

Hadoop challenges assumptions, old thinking in enterprise | #BigDataNYC

Rod Bodkin In theCUBE At BigDataNYC

Adopting new technologies has been difficult for many organizations because it requires changes in thinking. With Big Data and new ways of doing analytics, many traditional assumptions have been challenged in the enterprise, explained Ron Bodkin, President of Think Big, an advanced analytics company recently acquired by Teradata. One of these ways of thinking was the cost-centric mentality around IT, instead of the vision of IT partnering with the organization holistically to drive business.

Open software for managing large data-sets, Hadoop enables savings by enabling actions that were cost-inhibitive before, offering flexibility to work with unstructured data, said Bodkin. That ability is where the true value and the transformative data is.  “The real opportunity is new analytics around new data that you couldn’t achieve before,” Bodkin added in his live interview with theCUBE co-hosts Jeff Kelly and Dave Vellante from this week’s Big Data NYC event. These new analytics methods provide a lot of synergy compared to the data warehousing world, according to Bodkin.

Governance is what transforms a data lake into a data reservoir, as opposed to a data swamp where everything is simply dumped, Bodkin explained. With Big Data, you don’t need governance, he said, as “you can incrementally govern the data as you apply more structure.” To do so, one takes data that is lightly governed, and refine it as you find out more about it.

You can check out SiliconANGLE’s archived coverage of Big Data NYC on our YouTube channel here.


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