Paul Codding and Sheetal Dolas, both from Hortonworks, join us in this second part of a two part episode where they share their experience with what can go wrong when Hadoop is deployed. Listen to the tips and tricks these gentlemen share and double the throughput for your cluster.

00:00 Recent events

Dave

TensorKart: self-driving MarioKart with TensorFlow

http://kevinhughes.ca/blog/tensor-kart

What is Data Engineering?

https://www.dataquest.io/blog/what-is-a-data-engineer/

Jhon

Machine Learning is Fun (parts 1-6)

https://medium.com/@ageitgey/machine-learning-is-fun-part-6-how-to-do-speech-recognition-with-deep-learning-28293c162f7a#.vv1lh5755

Performance comparison of different file formats and storage engines in the Hadoop ecosystem

https://db-blog.web.cern.ch/blog/zbigniew-baranowski/2017-01-performance-comparison-different-file-formats-and-storage-engines

How to write code using the Spark Dataframe API: a focus on composability and testing

https://blog.godatadriven.com/structure-spark-df-api-code

38:00 What do people get wrong when deploying Hadoop? – Part 2 The second part of the interview with two guests from Hortonworks:

Paul Codding

Product Management Director at Hortonworks

Sheetal Dolas

Engineering Leader, Architect And Big Data Champion at Hortonworks

01:12:13 End

Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.