A Glimpse At The Future Of Apache Spark 3.0 With Deep Learning And Kubernetes

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:

• READ - How Lightbend Got Apache Spark To Work With Scala 2.12
• WATCH - Hands On With Spark: Creating A Fast Data Pipeline With Structured Streaming And Spark Streaming
• DOWNLOAD - Understand And Design Fast Data & Streaming Applications (A 3-Part Content Pack)

As always, Lightbend is here to help you with your digital transformation. To have a short conversation with a Lightbend representative, request a demo with us here!

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Author(s)

Oliver White

Chief Storyteller, Lightbend, Inc.

twitter: @TheOTown

Oliver has been helping startups and enterprises tell their technology stories since 2007. As Chief Storyteller at Lightbend, Oliver has dedicated much of his time to creating educational content and building community awareness around Reactive system architecture and tooling. Oliver is a co-founder of Virtual JUG, the creator of the ZeroTurnaround content brand RebelLabs, and, somewhat unexpectedly, the coiner of the phrase “SMACK Stack”.

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