Hadoop remains a difficult platform for most enterprises to master. For now skills are still hard to come by \u2013 both for data architect or engineer, and especially for data scientists. It still takes too much skill, tape, and baling wire to get a Hadoop cluster together. Not every enterprise is Google or Facebook, with armies of software engineers that they can throw at a problem. With some exceptions, most enterprises don\u2019t deal with data on the scale of Google or Facebook either \u2013 but the bar is rising.<\/p>\n
If 2011 was the year that the big IT data warehouse and analytic platform brand names discovered Hadoop, 2012 becomes the year where a tooling ecosystem starts emerging to make Hadoop more consumable for the enterprise. Let\u2019s amend that \u2013 along with tools, Hadoop must also become a first-class citizen with enterprise IT infrastructure. Hadoop won\u2019t cross over to the enterprise if it has to be treated as some special island. That means meshing with the practices and technology approaches that enterprises are using to manage their data centers or cloud deployments. Like SQL, data integration, virtualization, storage strategy, and so on.<\/p>\n