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DoK Talks #106- Cloud native data warehousing with Kubernetes // Mark Cusack & Matthew Ripley

59:25
 
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Manage episode 309660270 series 2865115
Data on Kubernetes Community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data on Kubernetes Community 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

https://go.dok.community/slack
https://dok.community/
ABSTRACT OF THE TALK
Yellowbrick's cloud data warehouse is natively integrated with Kubernetes. Not only does Kubernetes provide the elasticity, resilience and upgradeability expected of a modern data warehouse, it also enables Yellowbrick to be deployed anywhere: in public clouds, private clouds and at the network edge. During this talk, we will dive into the details of how we use Kubernetes to power our data warehouse solution, how we've created a SQL interface to Kubernetes, and give a live demo. We'll also talk about the business value that enterprises can derive from such a flexible solution built on Kubernetes.
KEY TAKE-AWAYS FROM THE TALK
You'll come away with: an understanding of the business value derived from a Kubernetes-based data warehouse; insight into our SQL interface to Kubernetes; and the overall capabilities of Yellowbrick
BIO
Before joining Yellowbrick as CTO, Mark was Vice President for Data and Analytics at Teradata, where he led a variety of product management and technology teams in data warehouse and advanced analytics groups.
He was also Chief Architect of Teradata’s IoT Analytics effort. Mark joined Teradata in 2014 when Teradata acquired the startup RainStor, where he was a co-founding developer and Chief Architect. Prior to RainStor, Mark was a lead scientist in the UK Ministry of Defence.
Mark holds a Ph.D. in computational physics from Newcastle University, UK, with a thesis centered on discovering the electronic and non-linear optical properties of quantum dots. As a research fellow at Newcastle, he developed new techniques to model these novel quantum structures using large-scale parallel and distributed computing approaches..

  continue reading

243 에피소드

Artwork
icon공유
 
Manage episode 309660270 series 2865115
Data on Kubernetes Community에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Data on Kubernetes Community 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

https://go.dok.community/slack
https://dok.community/
ABSTRACT OF THE TALK
Yellowbrick's cloud data warehouse is natively integrated with Kubernetes. Not only does Kubernetes provide the elasticity, resilience and upgradeability expected of a modern data warehouse, it also enables Yellowbrick to be deployed anywhere: in public clouds, private clouds and at the network edge. During this talk, we will dive into the details of how we use Kubernetes to power our data warehouse solution, how we've created a SQL interface to Kubernetes, and give a live demo. We'll also talk about the business value that enterprises can derive from such a flexible solution built on Kubernetes.
KEY TAKE-AWAYS FROM THE TALK
You'll come away with: an understanding of the business value derived from a Kubernetes-based data warehouse; insight into our SQL interface to Kubernetes; and the overall capabilities of Yellowbrick
BIO
Before joining Yellowbrick as CTO, Mark was Vice President for Data and Analytics at Teradata, where he led a variety of product management and technology teams in data warehouse and advanced analytics groups.
He was also Chief Architect of Teradata’s IoT Analytics effort. Mark joined Teradata in 2014 when Teradata acquired the startup RainStor, where he was a co-founding developer and Chief Architect. Prior to RainStor, Mark was a lead scientist in the UK Ministry of Defence.
Mark holds a Ph.D. in computational physics from Newcastle University, UK, with a thesis centered on discovering the electronic and non-linear optical properties of quantum dots. As a research fellow at Newcastle, he developed new techniques to model these novel quantum structures using large-scale parallel and distributed computing approaches..

  continue reading

243 에피소드

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