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In this Video
The first meeting of the Big Data Special Interest Group, expanded on a previous Commons session entitled Big Data and Apache Spark on OpenShift (Part 1) which kicked off the Big Data SIG.
In the previous session, Red Hat’s Will Benton gave us a vocabulary for talking about data-driven applications and outlined some example architectures for building data-driven applications with microservices. In this SIG session, he gave us an introduction to using Apache Spark on OpenShift and walk through an example data-driven application.
If you'd like to join the Big Data SIG or find out more about OpenShift Commons, please visit https://commons.openshift.org
OpenShift Commons Gathering in Seattle November 7, 2016
The Big Data SIG will be meeting in person at the upcoming OpenShift Commons Gathering co-located with CNCF.io's Kubecon. We will have a stellar lineup of speakers from across the OpenShift ecosystem and plenty of time set aside to network and meet with your peers. Find out more here: https://commons.openshift.org/gathering
Big Data SIG Playlist
You can find a Playlist of all previously recorded SIG sessions on YouTube.
Don't forget to leave your feedback and suggestions for each video or in the comments section below. This will be incredibly important to shape this Special Interest Group and create sessions that fit the demands of all the OpenShift developers in the community.
About OpenShift Commons
OpenShift Commons is the place for organizations that are part of the OpenShift community to connect with peers and other related open source technology communities to communicate and collaborate across all OpenShift projects and stakeholders.
The Commons' goal is to foster collaboration and communication between OpenShift stakeholders to drive success for all members, and expand & facilitate points of connection between members for sharing knowledge and experience to help drive success for the platform and for participants: customers, users, partners, and contributors.
Join OpenShift Commons today http://commons.openshift.org/#join
