Business analysts key to Cloudera and Hadoop's success

If Cloudera Desktop can win the business user segment, Cloudera will be hard to beat in the enterprise Hadoop market

When Cloudera first launched the Cloudera Distribution for Hadoop I wrote, "I've typically been down on a support or services-based open source business. However, in the case of Cloudera, this model makes sense -- for now."

Since I wrote that in March, the string of open source vendors shifting away from selling support to selling products, sometimes under the guise of subscriptions, has marched onward. I'm happy to report that Cloudera is following the product path with today's beta release of Cloudera Desktop.

[ Also on InfoWorld: Cloudera simplifies Hadoop with easy-to-use GUI | Stay up to speed with the open source community via InfoWorld's Technology: Open Source newsletter. ]

Simply put, Cloudera Desktop makes Hadoop easier to use and manage, which is how the press release describes the product. After watching the demo, I couldn't find a more apt description.

Data that enterprises collect daily is critical to business decisions.  However, there's a problem.  Waiting for IT developers to write analysis algorithms to process the data is sometimes suboptimal, especially for smaller and less complex analysis jobs.  That's where Cloudera Desktop steps in.

Cloudera Desktop is targeted at not only developers and administrators, but also business analysts. Opening up the power of Hadoop to nondevelopers increases the utility of Hadoop in the enterprise. Clearly, business analysts, who often possess scripting skills, will not be able to design algorithms to process complex data analysis tasks. Hence, the need for Hadoop developers and developer tools does not disappear, but the broad scale success of Hadoop and Cloudera in the enterprise rides on the coattails of business users, not developers.

To really hit it out of the park, Cloudera will have to make it even easier for business analysts to use Hadoop. Precanned business-focused scripts are a start. Getting away from scripting altogether should be the long-term goal for the business user segment. Let business users create analysis jobs by dragging and dropping artifacts, actions, and complex algorithms created by developers onto a job creation pane. Put the scripts in the background so that the business user can always customize the job's behavior. If Cloudera can pull this off and win the business user segment, they'll be hard to beat in the enterprise Hadoop market.

Good luck to them.

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p.s.: I should state: "The postings on this site are my own and don't necessarily represent IBM's positions, strategies, or opinions."