Keeping it together: Organizing endless data streams | #HS16SJ
by Timothy Walden | Jun 29, 2016
Data going in and data going out; it seems as though data is all anyone is talking about. Where does it go, where is it processed, where’s the value? Well Arizona State University is dong some research to establish a better understanding in this new data-dominant world.
Dr. Kenneth Buetow, director of Computational Sciences and Informatics Program, Complex Adaptive Systems Initiative, at Arizona State University, and Jay Etchings, director of Operations, Research Computing – High Performance Computing at Arizona State University, talked with George Gilbert (@ggilbert41) and John Furrier (@furrier), cohosts of theCUBE, from the SiliconANGLE Media team, during Hadoop Summit 2016 about the world of data.
Bring it in!
The massive industry that is technology is at an inflection point. There is a digital dash taking place, and enterprises want to know what they need to be focusing on. Well the easy answer is everything. We are now looking at a “multidimensional space that connects in many ways,” said Buetow. Multiple data streams can be combined to streamline a process.
With Hadoop, those multiple data silos can be brought together and even optimized in one ecosystem. This ecosystem of optimization allows researchers to approach complex problems with an adaptable infrastructure.
The new telescope
With Hadoop, researchers can bring the many data silos and streams together and create a type of “next-generation telescope or observatory,” said Etchings. The data that is amassed can be used to see data innovations further down the line. Data has become something to observe and derive new solutions from.
Innovation has become less of a technical issue and more an issue for the collective. That’s why the Hadoop ecosystem is so beneficial for data analysis. Multiple containers can used in a range of processes. Each partner has the opportunity to improve on legacy data to create all new applications.
In technology, data in’t sexy, but it’s addressable, so much so that there may be an “equal seat at the table for data scientists,” said Buetow.
#HS16SJ
#theCUBE
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Jay Ethcings, ASU & Dr. Kenneth Buetow | Hadoop Summit 2016 San Jose
Keeping it together: Organizing endless data streams | #HS16SJ
by Timothy Walden | Jun 29, 2016
Data going in and data going out; it seems as though data is all anyone is talking about. Where does it go, where is it processed, where’s the value? Well Arizona State University is dong some research to establish a better understanding in this new data-dominant world.
Dr. Kenneth Buetow, director of Computational Sciences and Informatics Program, Complex Adaptive Systems Initiative, at Arizona State University, and Jay Etchings, director of Operations, Research Computing – High Performance Computing at Arizona State University, talked with George Gilbert (@ggilbert41) and John Furrier (@furrier), cohosts of theCUBE, from the SiliconANGLE Media team, during Hadoop Summit 2016 about the world of data.
Bring it in!
The massive industry that is technology is at an inflection point. There is a digital dash taking place, and enterprises want to know what they need to be focusing on. Well the easy answer is everything. We are now looking at a “multidimensional space that connects in many ways,” said Buetow. Multiple data streams can be combined to streamline a process.
With Hadoop, those multiple data silos can be brought together and even optimized in one ecosystem. This ecosystem of optimization allows researchers to approach complex problems with an adaptable infrastructure.
The new telescope
With Hadoop, researchers can bring the many data silos and streams together and create a type of “next-generation telescope or observatory,” said Etchings. The data that is amassed can be used to see data innovations further down the line. Data has become something to observe and derive new solutions from.
Innovation has become less of a technical issue and more an issue for the collective. That’s why the Hadoop ecosystem is so beneficial for data analysis. Multiple containers can used in a range of processes. Each partner has the opportunity to improve on legacy data to create all new applications.
In technology, data in’t sexy, but it’s addressable, so much so that there may be an “equal seat at the table for data scientists,” said Buetow.
#HS16SJ
#theCUBE
