01. Eamon O'Neill, HPE visits #theCUBE. (00:18)
02. Misha Davidson, HPE, visits #theCUBE!. (00:21)
03. Announcement of Vertica 8. (00:30)
04. Bringing Machine Learning to the Database. (02:41)
05. Vertica 101: Evolution and Changes in the Architecture. (03:27)
06. The Business Impact of Vertica 8. (05:14)
07. Getting Data Into Vertica and OEM Customers. (06:15)
08. The Prevalence of Democratization of Data. (07:10)
09. Is Vertica Replacing the Mission Critical Engine?. (08:59)
10. Vertica and the Edge/Adopting Open Source Technologies. (10:56)
11. Open Source and Cost. (13:08)
12. Efficiency and Performance with Vertica 8. (14:31)
13. What Customers are Demanding/Customer Trends. (16:35)
14. Final Thoughts on Seize the Data Conference. (18:36)
Track List created with http://www.vinjavideo.com.
--- ---
HPE unpacks Vertica 8 | #SeizeTheData
by Heather Johnson | Sep 1, 2016
Among the many announcements at the 2016 HPE Big Data Conference, Hewlett Packard Enterprise Co. (HPE) introduced Vertica 8, which offers a unified architecture and advanced in-database analytics capabilities that allow users to conduct sophisticated analysis at “industry-leading” scale and speed, regardless of where their data lives.
Misha Davidson, director of Engineering, Vertica Systems, at HPE, and Eamon O Neill, director of Product Management, Vertica Systems, at HPE, spoke to Dave Vellante (@dvellante) and Paul Gillin (@pgillin), cohosts of theCUBE, from the SiliconANGLE Media team, during the conference. And, according to Davidson, Vertica 8 differs from previous versions by giving customers a choice of Amazon AWS or Microsoft Azure cloud platforms.
“Customers told us they wanted to use different clouds for different use cases,” Davidson said. “We’ve expanded the analytics to accommodate machine learning jobs, IoT analysis, and other use cases.”
A Vertica 8 primer
O’ Neill added that the power of Vertica 8 lies in its parallelism. He gave Vellante a Vertica 8 primer: “We have customers that run thousands of users concurrently doing interesting things on massive amounts of data,” O’Neill said. “We made some architectural changes to ensure that we can handle that degree of concurrency effectively.”
For cloud integrations, HPE is working to provide a level of obstruction that lets users run Vertica in clouds that are relevant to them. “We brought database machine learning inside Vertica so you can analyze data and make predictions without exporting it out of Vertica,” O’Neill stated. “We’re also continuing our investment in working with open formats.”
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Community Invitation
Misha Davidson, HPE & Eamon O Neill, HPE - HPE Big Data Conference 2016 #SeizeTheData #theCUBE
01. Eamon O'Neill, HPE visits #theCUBE. (00:18)
02. Misha Davidson, HPE, visits #theCUBE!. (00:21)
03. Announcement of Vertica 8. (00:30)
04. Bringing Machine Learning to the Database. (02:41)
05. Vertica 101: Evolution and Changes in the Architecture. (03:27)
06. The Business Impact of Vertica 8. (05:14)
07. Getting Data Into Vertica and OEM Customers. (06:15)
08. The Prevalence of Democratization of Data. (07:10)
09. Is Vertica Replacing the Mission Critical Engine?. (08:59)
10. Vertica and the Edge/Adopting Open Source Technologies. (10:56)
11. Open Source and Cost. (13:08)
12. Efficiency and Performance with Vertica 8. (14:31)
13. What Customers are Demanding/Customer Trends. (16:35)
14. Final Thoughts on Seize the Data Conference. (18:36)
Track List created with http://www.vinjavideo.com.
--- ---
HPE unpacks Vertica 8 | #SeizeTheData
by Heather Johnson | Sep 1, 2016
Among the many announcements at the 2016 HPE Big Data Conference, Hewlett Packard Enterprise Co. (HPE) introduced Vertica 8, which offers a unified architecture and advanced in-database analytics capabilities that allow users to conduct sophisticated analysis at “industry-leading” scale and speed, regardless of where their data lives.
Misha Davidson, director of Engineering, Vertica Systems, at HPE, and Eamon O Neill, director of Product Management, Vertica Systems, at HPE, spoke to Dave Vellante (@dvellante) and Paul Gillin (@pgillin), cohosts of theCUBE, from the SiliconANGLE Media team, during the conference. And, according to Davidson, Vertica 8 differs from previous versions by giving customers a choice of Amazon AWS or Microsoft Azure cloud platforms.
“Customers told us they wanted to use different clouds for different use cases,” Davidson said. “We’ve expanded the analytics to accommodate machine learning jobs, IoT analysis, and other use cases.”
A Vertica 8 primer
O’ Neill added that the power of Vertica 8 lies in its parallelism. He gave Vellante a Vertica 8 primer: “We have customers that run thousands of users concurrently doing interesting things on massive amounts of data,” O’Neill said. “We made some architectural changes to ensure that we can handle that degree of concurrency effectively.”
For cloud integrations, HPE is working to provide a level of obstruction that lets users run Vertica in clouds that are relevant to them. “We brought database machine learning inside Vertica so you can analyze data and make predictions without exporting it out of Vertica,” O’Neill stated. “We’re also continuing our investment in working with open formats.”
