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Is Hadoop Maturity in Sight?: Page 2

By Drew Robb     Feedback
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Hadoop and Influential Analytics

Paul Maritz, CEO of Pivotal, is another who remains positive about Hadoop’s future. He sees its biggest value in being able to catch something or someone in the act of doing something and change it in order to power new experiences. In a health care use case, an app could tell you not to eat that burger and fries, or remind you to set up a medical appointment.

"To become part of our daily lives, Big Data analytics will have to provide a compelling experience that users will want and that can be used to change behavior," Maritz said.

He also talked about car company Tesla Motors, which has done pioneering work in making the app almost as important as the car – with the idea being that the relationship between the driver, the automotive supplier and the vehicle largely comes through the app.

Pivotal Goes Open Source

Whatever direction this goes in, Pivotal has taken steps to let many more become involved. Pivotal's Cloud Foundry represents the fact that the company has surrendered control of core components of its Hadoop technology to a consortium of over 40 companies that will combine their resources to push the technology forward as an open source project. Pivotal will provide its own distribution based on that Cloud Foundry core.  

"The Pivotal Big Data Suite lets you analyze data at scale by exploiting low-cost cloud infrastructure to sort through data and analyze it in real time," said Maritz. "This means you can take a data warehouse, a relational database and Hadoop clusters and make it one platform."

The suite is available as an appliance or in the cloud. Pricing is per CPU core per year. Pivotal also has upgraded the suite with a query optimizer which is said to deliver a performance boost to queries against the Pivotal Greenplum database.

Hadoop Skills Gap

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While Maritz and Olsen are avid proponents of Hadoop, it could well be that its technology adoption curve is hitting a road block in terms of available talent. According to Gartner, nearly 60 percent of enterprises feel the skills gap is a major inhibitor of Hadoop. Those with the requisite skills are currently in high demand and are probably beyond the pay range of the average business.

It will take a surge in qualified talent to bridge the gap to more widespread Hadoop adoption. Gartner’s Heudecker believes another two to three years are required before enough skilled labor will be available.

Drew Robb is a freelance writer specializing in technology and engineering. Currently living in Florida, he is originally from Scotland, where he received a degree in geology and geography from the University of Strathclyde. He is the author of Server Disk Management in a Windows Environment (CRC Press).

This article was originally published on June 4, 2015
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