Big Data and Apache Spark on OpenShift Pt. I - OpenShift Commons Briefing #44
July 27, 2016 | by
In this Video
In this introductory Big Data briefing session, Red Hat's Will Benton gave an overview into Big Data architecture and concepts to help level the playing field. This video will give us a better understanding of what a data-intensive application should actually look like on a modern container orchestration platform, and to help kick off the OpenShift Common Big Data SIG.
In this recording, you’ll learn about the anatomy of data-intensive applications, how they come to life, and what they have to accomplish. We walked through a few applications and explored their responsibilities, saw how they use data, discuss trade-offs they must negotiate, and point to some example architectures that make sense for realizing data-intensive applications on OpenShift.
William Benton leads a data science team at Red Hat, where he has applied analytic techniques to problems ranging from forecasting cloud infrastructure costs to designing better cycling workouts. His current development focus is contributing to open-source distributed computing projects, but he has also conducted research and development in the areas of static program analysis, managed language runtimes, logic databases, cluster configuration management, and music technology. Benton holds a PhD in computer sciences from the University of Wisconsin.
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 the content of future briefings sessions and provide content that satisfies the entire OpenShift 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 its members.
As a result, the OpenShift Commons expands & facilitates points of connection between members for sharing their knowledge and experience. Consequently, the OpenShift Commons help to drive success for the platform and for all the participants: customers, users, partners, and contributors.
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