BONUS: Ted Dunning – IT Origins

An episode of the Tech Field Day Podcast podcast, hosted by Tech Field Day, titled "BONUS: Ted Dunning – IT Origins" was published on June 5, 2018 and runs 42 minutes.

June 5, 2018 ·42m · Tech Field Day Podcast

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Summary

Enjoy this bonus episode of the podcast. Ted Dunning is the Chief Application Architect at MapR and a board member of the Apache Software Foundation. This week on IT Origins, we had a conversation with Ted Dunning, Apache Software Foundation board member, and the Chief Application Architect at MapR. We discussed Ted’s introduction to IT, his early involvement with the open source software community, and how AI advances quickly go from aspirational to blasé. We were also fortunate to have Ted’s colleague and co-author Ellen Friedman join in on the second half of the interview. Both were able to give some great career advice about how to stay relevant in rapidly evolving fields. Books mentioned in the interview by Ted Dunning and Ellen Friedman: * Streaming Architecture: New Designs Using Apache Kafka and MapR Streams * Practical Machine Learning: Innovations in Recommendation * Real World Hadoop Music: “Inspired” by Kevin MacLeod

Episode Description

Enjoy this bonus episode of the podcast.
Ted Dunning is the Chief Application Architect at MapR and a board member of the Apache Software Foundation.
This week on IT Origins, we had a conversation with Ted Dunning, Apache Software Foundation board member, and the Chief Application Architect at MapR. We discussed Ted’s introduction to IT, his early involvement with the open source software community, and how AI advances quickly go from aspirational to blasé. We were also fortunate to have Ted’s colleague and co-author Ellen Friedman join in on the second half of the interview. Both were able to give some great career advice about how to stay relevant in rapidly evolving fields.
Books mentioned in the interview by Ted Dunning and Ellen Friedman:

* Streaming Architecture: New Designs Using Apache Kafka and MapR Streams
* Practical Machine Learning: Innovations in Recommendation
* Real World Hadoop

Music: “Inspired” by Kevin MacLeod

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