Mick Bass from 47Lining live on theCUBE from the historic Wigwam resort in Litchfield Park AZ
#DataPlatforms #theCUBE
https://siliconangle.com/2017/05/31/is-cloud-storage-pl-report-on-prem-legacies-dont-want-you-see-dataplatforms2017/
Is there a cloud storage P&L report on-prem legacies don’t want you to see?
On-premise infrastructure proponents are quick to point out the cost-wall enterprises hit in cloud storage, but their arguments don’t fairly weigh the pros and cons, according to Mick Bass (pictured), chief executive officer of 47Lining LLC.
“Your data lake has a profit and loss statement,” Bass told George Gilbert (@ggilbert41) and Jeff Frick (@JeffFrick), co-hosts of theCUBE, SiliconANGLE Media’s mobile live streaming studio.
Colorado-based 47Lining constructs data lakes, platforms and processes in Amazon Web Services, Bass explained during the Data Platforms event in Litchfield Park, Arizona. (* Disclosure below.)
It is key to teach customers moving data to the cloud that a data lake’s function is to generate value, provided they tool it properly, Bass stated.
While byte for byte, cloud storage may bear a higher sticker price than on-prem, customers must look at the value they ultimately derive, Bass explained. In several ways, the cloud allows users to earn bigger profits from data lakes in less time, he added.
The cloud’s elastic pricing model allows companies to inexpensively “bootstrap” their data lakes with a small amount of data and a single use case; it is easy to scale up later, should they decide to based on gains made, again paying only for what they need, Bass stated.
Also, AWS brings a breadth of tools for data analytics that is difficult to find elsewhere, he said. “Analysts are really empowered through his approach, because they can choose the right tool for the right job and reduce the time to business benefit,” Bass explained.
IoT drops in on unprepared enterprises
Specific kinds of streaming data fit very poorly on-prem, particularly Internet of Things data, according to Bass.
“Many enterprises are augmenting their existing data warehouse with sensor-oriented time series data — and there’s really no place in the enterprise for that data currently to land,” he said.
Cloud providers can cull and integrate this data from diverse input formats for easy access. This integration is also useful in fraud detection; companies can build a custom Application Program Interface for fraud analytics to inject specific data in time to make a decision, Bass explained.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of Data Platforms 2017. (* Disclosure: TheCUBE is a paid media partner for Data Platforms 2017. Neither Qubole Inc. nor other sponsors have editorial influence on theCUBE or SiliconANGLE.)
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Mick Bass, 47Lining | Data Platforms 2017
Mick Bass from 47Lining live on theCUBE from the historic Wigwam resort in Litchfield Park AZ
#DataPlatforms #theCUBE
https://siliconangle.com/2017/05/31/is-cloud-storage-pl-report-on-prem-legacies-dont-want-you-see-dataplatforms2017/
Is there a cloud storage P&L report on-prem legacies don’t want you to see?
On-premise infrastructure proponents are quick to point out the cost-wall enterprises hit in cloud storage, but their arguments don’t fairly weigh the pros and cons, according to Mick Bass (pictured), chief executive officer of 47Lining LLC.
“Your data lake has a profit and loss statement,” Bass told George Gilbert (@ggilbert41) and Jeff Frick (@JeffFrick), co-hosts of theCUBE, SiliconANGLE Media’s mobile live streaming studio.
Colorado-based 47Lining constructs data lakes, platforms and processes in Amazon Web Services, Bass explained during the Data Platforms event in Litchfield Park, Arizona. (* Disclosure below.)
It is key to teach customers moving data to the cloud that a data lake’s function is to generate value, provided they tool it properly, Bass stated.
While byte for byte, cloud storage may bear a higher sticker price than on-prem, customers must look at the value they ultimately derive, Bass explained. In several ways, the cloud allows users to earn bigger profits from data lakes in less time, he added.
The cloud’s elastic pricing model allows companies to inexpensively “bootstrap” their data lakes with a small amount of data and a single use case; it is easy to scale up later, should they decide to based on gains made, again paying only for what they need, Bass stated.
Also, AWS brings a breadth of tools for data analytics that is difficult to find elsewhere, he said. “Analysts are really empowered through his approach, because they can choose the right tool for the right job and reduce the time to business benefit,” Bass explained.
IoT drops in on unprepared enterprises
Specific kinds of streaming data fit very poorly on-prem, particularly Internet of Things data, according to Bass.
“Many enterprises are augmenting their existing data warehouse with sensor-oriented time series data — and there’s really no place in the enterprise for that data currently to land,” he said.
Cloud providers can cull and integrate this data from diverse input formats for easy access. This integration is also useful in fraud detection; companies can build a custom Application Program Interface for fraud analytics to inject specific data in time to make a decision, Bass explained.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of Data Platforms 2017. (* Disclosure: TheCUBE is a paid media partner for Data Platforms 2017. Neither Qubole Inc. nor other sponsors have editorial influence on theCUBE or SiliconANGLE.)
