Rishi Yadav, InfoObjects,at BigDataSV 2014 with John Furrier and Dave Vellante
@thecube
#BigDataSV
oining Dave Vellante and John Furrier on theCube at #BigDataSV this afternoon was Rishi Yadav, CEO of InfoObjects. InfoObjects serves their clients as an independent consultancy with no intellectual property. “We are in the business of building clients IP,” stated Yadav. “We use Hadoop to build customer applications for them.” InfoObjects works with specifically with the OpenSource Hadoop platform because they believe it is the most complete platform to address any and all business applications.
Yadev commented on how the industry buzz has centered on analytics. “The next phase will be visualization.” He believes there will be impressive innovation around OpenSource applications for visualization in the very near future.
Asking him to address real time data, Furrier asked, “Where does that fit in to Map Reduce and YARN?”
In response, Yadev noted, “One part that is going to remain is that you will have this data that is stored in a particular way and that is not going away. How do you want to use it?” Yadev believes the limitations of Map Reduce may be an insurmountable challenge. “Everything will remain the same, but Map Reduce will have been replaced by Spark which operates within memory.”
The success of the Hadoop platform is rooted in its technology. “In Hadoop you can store such a huge amount of data,” Yadev states. “That is not going anywhere.” He sees the use of real time and graph applications as particularly useful with a centralized data model. That model, he notes, is referred to as a ‘data lake.’
“After that, what do you do with it? You want to run all of your applications on that data,” he said. “Having to transfer your data around to different areas to run applications will soon not make any sense.”
Yadev, like others appearing on theCUBE this week, has observed that customers, unlike last year, are starting to come off the fence in favor of Hadoop deployment. He credits this migration to the many independent applications that have redesigned to work with Hadoop. There are several new real time applications that can run natively on the platform.
As a consultancy in a disruptive market, Yadev believes InfoObject’s strength lies in their agility. In comparison to legacy companies like IBM, he believes is strategic differentiator is the faster turnaround. He concedes many of the larger Enterprise operations may opt for a legacy provider but he claims the mid-level market is the low-hanging fruit for InfoObject.
The future, as Yadev sees it, is going to be driven by Hadoop. “Enterprise was limited by data they could hold and what they could even do with it,’ he stated. “Hadoop allows them to store far more data and utilize it. As people learn more about Hadoop and how to use it, you will see broader adoption.” He believes that future innovation on the platform will ultimately spring from future adopters once they learn what they can do with their data.
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Rishi Yadav - BigDataSV 2014 - theCUBE
Rishi Yadav, InfoObjects,at BigDataSV 2014 with John Furrier and Dave Vellante
@thecube
#BigDataSV
oining Dave Vellante and John Furrier on theCube at #BigDataSV this afternoon was Rishi Yadav, CEO of InfoObjects. InfoObjects serves their clients as an independent consultancy with no intellectual property. “We are in the business of building clients IP,” stated Yadav. “We use Hadoop to build customer applications for them.” InfoObjects works with specifically with the OpenSource Hadoop platform because they believe it is the most complete platform to address any and all business applications.
Yadev commented on how the industry buzz has centered on analytics. “The next phase will be visualization.” He believes there will be impressive innovation around OpenSource applications for visualization in the very near future.
Asking him to address real time data, Furrier asked, “Where does that fit in to Map Reduce and YARN?”
In response, Yadev noted, “One part that is going to remain is that you will have this data that is stored in a particular way and that is not going away. How do you want to use it?” Yadev believes the limitations of Map Reduce may be an insurmountable challenge. “Everything will remain the same, but Map Reduce will have been replaced by Spark which operates within memory.”
The success of the Hadoop platform is rooted in its technology. “In Hadoop you can store such a huge amount of data,” Yadev states. “That is not going anywhere.” He sees the use of real time and graph applications as particularly useful with a centralized data model. That model, he notes, is referred to as a ‘data lake.’
“After that, what do you do with it? You want to run all of your applications on that data,” he said. “Having to transfer your data around to different areas to run applications will soon not make any sense.”
Yadev, like others appearing on theCUBE this week, has observed that customers, unlike last year, are starting to come off the fence in favor of Hadoop deployment. He credits this migration to the many independent applications that have redesigned to work with Hadoop. There are several new real time applications that can run natively on the platform.
As a consultancy in a disruptive market, Yadev believes InfoObject’s strength lies in their agility. In comparison to legacy companies like IBM, he believes is strategic differentiator is the faster turnaround. He concedes many of the larger Enterprise operations may opt for a legacy provider but he claims the mid-level market is the low-hanging fruit for InfoObject.
The future, as Yadev sees it, is going to be driven by Hadoop. “Enterprise was limited by data they could hold and what they could even do with it,’ he stated. “Hadoop allows them to store far more data and utilize it. As people learn more about Hadoop and how to use it, you will see broader adoption.” He believes that future innovation on the platform will ultimately spring from future adopters once they learn what they can do with their data.