A Glimpse at the Future of Apache Spark 3.0 With Deep Learning and Kubernetes
In this post, we discuss what you need to know about how Spark 3.0, Kubernetes, and deep learning all come together.
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What to Know About Spark 3.0, Kubernetes, and Deep Learning
While crystal balls are notoriously unreliable, lately there has been a lot of interesting work around the planning and development of Apache Spark 3.0.
In this special guest webinar with Holden Karau, speaker, author and Developer Advocate at Google, we'll take a walk through some of the interesting Spark 3.0 JIRA tickets, look at external components being developed (like deep learning support), and also talk about the future of running real-time Spark workloads on Kubernetes.
Some of this will almost certainly be disproven in the future, but come join in the fun parts of technology speculation and, when it's all over, maybe help out with a code review or two in the areas of your interest.
Watch The Full Presentation (~50 Min)
Check Out These Other Resources
If you're interested in Spark, real-time data streaming, and the role that Scala plays in your fast data pipelines, then check out some of these recent Lightbend resources for continuing education:
Published at DZone with permission of Oliver White, DZone MVB. See the original article here.
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