Joy King, Vice President, Product & GTM Strategy, Vertica sits down with Dave Vellante at a CUBE digital interview for Vertica BDC 2020.
#VerticaBDC #MyCompany #theCUBE
https://siliconangle.com/2020/04/01/qa-vp-discusses-deployment-flexible-vertica-v10-delivering-transparent-replicable-ml-verticabdc/
Q&A: VP discusses deployment-flexible Vertica v10 and delivering transparent, replicable ML
It’s a wild ride keeping up in the surf of technological change. Some companies miss the wave, while others catch it only to wipe out as it crests. In the world of big data, Vertica has made a habit of catching wave after wave, positioning itself, paddling hard, then hanging ten as it rides the curl.
An early player in big data services, Vertica has smoothly transitioned from one trend to the next, be it model-view-presenter architecture, big data with Hadoop Distributed File System, or HDFS, through data science and data analytics, into cloud and machine learning. Vertica is currently the only platform that offers disaggregated compute both on-premise and in the cloud, and with the release of Vertica version 10, the platform is taking on the next level of deployment flexibility.
“Vertica is at its core a true engineering culture,”” said Joy King (pictured), vice president of Vertica product management and marketing at Micro Focus International PLC. “That means we don’t pretend to know everything that’s coming. But we are committed to embracing the technology trends, the innovations. … We don’t pretend to know it all; we just do it all.”
King spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the virtual Vertica Big Data Conference. They discussed trends in data and how Vertica is making machine-learning models transparent and replicable. (* Disclosure below.)
[Editor’s note: The following content has been condensed for clarity.]
I’ve said to a number of our guests that Vertica’s always been good at riding the wave. What are the current trends that you see? The big waves that you’re riding right now.
King: Data growth and data silos is trend one. Hadoop is a very reasonably capable elephant, but she can’t be an entire zoo. So, there’s a lot of disappointment in the market but a lot of data in HDFS. You combine that with the explosion of cloud object storage, you’re talking about even more data, but even more data silos.
Trend two is the cloud reality. Cloud brings so many advantages; there are so many opportunities that public cloud computing delivers. But I think we’ve learned enough now to know that there’s also some reality. It’s a little more pricey than we expected, there are some security and privacy concerns, there’s some workloads that can’t go to the cloud, so hybrid and also multicloud deployments are the next trend that are mandatory.
The trend that maybe the one that is most exciting in terms of changing the world — and we could use a little change right now — is operationalizing machine learning. There’s so much potential in the technology, but it somehow has been stuck, for the most part, in science projects and data science labs, and the time is now to operationalize it.
I think we all know that data analytics, machine learning, none of that delivers real value unless the volume of data is there to be able to truly predict and influence the future. The last seven to 10 years have been, correctly, about collecting the data, getting the data into a common location. And HDFS was well-designed for that. Now the key is, how do we take advantage of all of that data? And now that’s exactly what Vertica is focusing on.
Vertica 10.0 just released. What are the highlights?
King: Vertica in Eon Mode allows workload isolation, meaning allocating the compute resources that different use cases need without allowing them to interfere with other use cases and allowing everybody to access the data. So, it’s a great way to bring the corporate world together but still protect them from each other.
...
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the virtual Vertica Big Data Conference. (* Disclosure: TheCUBE is a paid media partner for the Vertica Big Data Conference. Neither Vertica, the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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Joy King, Vertica | Virtual Vertica BDC 2020
Joy King, Vice President, Product & GTM Strategy, Vertica sits down with Dave Vellante at a CUBE digital interview for Vertica BDC 2020.
#VerticaBDC #MyCompany #theCUBE
https://siliconangle.com/2020/04/01/qa-vp-discusses-deployment-flexible-vertica-v10-delivering-transparent-replicable-ml-verticabdc/
Q&A: VP discusses deployment-flexible Vertica v10 and delivering transparent, replicable ML
It’s a wild ride keeping up in the surf of technological change. Some companies miss the wave, while others catch it only to wipe out as it crests. In the world of big data, Vertica has made a habit of catching wave after wave, positioning itself, paddling hard, then hanging ten as it rides the curl.
An early player in big data services, Vertica has smoothly transitioned from one trend to the next, be it model-view-presenter architecture, big data with Hadoop Distributed File System, or HDFS, through data science and data analytics, into cloud and machine learning. Vertica is currently the only platform that offers disaggregated compute both on-premise and in the cloud, and with the release of Vertica version 10, the platform is taking on the next level of deployment flexibility.
“Vertica is at its core a true engineering culture,”” said Joy King (pictured), vice president of Vertica product management and marketing at Micro Focus International PLC. “That means we don’t pretend to know everything that’s coming. But we are committed to embracing the technology trends, the innovations. … We don’t pretend to know it all; we just do it all.”
King spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the virtual Vertica Big Data Conference. They discussed trends in data and how Vertica is making machine-learning models transparent and replicable. (* Disclosure below.)
[Editor’s note: The following content has been condensed for clarity.]
I’ve said to a number of our guests that Vertica’s always been good at riding the wave. What are the current trends that you see? The big waves that you’re riding right now.
King: Data growth and data silos is trend one. Hadoop is a very reasonably capable elephant, but she can’t be an entire zoo. So, there’s a lot of disappointment in the market but a lot of data in HDFS. You combine that with the explosion of cloud object storage, you’re talking about even more data, but even more data silos.
Trend two is the cloud reality. Cloud brings so many advantages; there are so many opportunities that public cloud computing delivers. But I think we’ve learned enough now to know that there’s also some reality. It’s a little more pricey than we expected, there are some security and privacy concerns, there’s some workloads that can’t go to the cloud, so hybrid and also multicloud deployments are the next trend that are mandatory.
The trend that maybe the one that is most exciting in terms of changing the world — and we could use a little change right now — is operationalizing machine learning. There’s so much potential in the technology, but it somehow has been stuck, for the most part, in science projects and data science labs, and the time is now to operationalize it.
I think we all know that data analytics, machine learning, none of that delivers real value unless the volume of data is there to be able to truly predict and influence the future. The last seven to 10 years have been, correctly, about collecting the data, getting the data into a common location. And HDFS was well-designed for that. Now the key is, how do we take advantage of all of that data? And now that’s exactly what Vertica is focusing on.
Vertica 10.0 just released. What are the highlights?
King: Vertica in Eon Mode allows workload isolation, meaning allocating the compute resources that different use cases need without allowing them to interfere with other use cases and allowing everybody to access the data. So, it’s a great way to bring the corporate world together but still protect them from each other.
...
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the virtual Vertica Big Data Conference. (* Disclosure: TheCUBE is a paid media partner for the Vertica Big Data Conference. Neither Vertica, the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
