Episode 34 – What do people get wrong when deploying Hadoop? – Part 1

Paul Codding and Sheetal Dolas, both from Hortonworks, join us in this first 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.
Continue reading “Episode 34 – What do people get wrong when deploying Hadoop? – Part 1”

Episode 17 – MLeap interview: Productionising Data Science

In this episode, we have an interview with Hollin Wilkins and Mikhail Semeniuk, the driving forces behind the MLeap project. If you are working with Spark, are deep into machine learning and are struggling to put those beautifully trained models into production, you definitely do not want to miss this episode! Continue reading “Episode 17 – MLeap interview: Productionising Data Science”