Open Analytics and Machine Learning with Kubernetes
Open Analytics and Machine Learning with Kubernetes

Abstract: 

The past few years has seen growth and adoption of container technology for cloud native applications and devops and agility. Kubernetes has emerged as the defacto hybrid cloud container platform.

There is considerable interest in bringing data science workloads and workflows to OpenShift - Red Hat's Kubernetes distro. Data Scientists benefit by having a choice of public and private clouds and capabilities and technologies they bring for their experiments. Data and ML engineers benefit by able to scale and bring data science workloads and workflows to production.

We propose a hands on workshop where we show the attendees on how to deploy open source technologies for data science on Kubernetes - technologies such as Jupyter, Kafka, Spark, TensorFlow, Ceph etc. This workshop will be based on our experiences with this for Open Data Hub.

Bio: 

Coming Soon

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google