Roaring Elephant

In this second part, we discuss the sessions that Dave attended at the San Jose Hadoop Summit and we go in depth on some related topics. Since we ran over an hour with the main topic, and we did not want to make this a three-parter, we decided to forgo the questions from the audience just this one time… Continue reading “Episode 20 – Dave’s Hadoop Summit San Jose 2016 Retrospective – Part 2”

Dave went to the Hadoop Summit 2016 in San Jose last week and came back with a riveting tale to tell. In this first part of the Summit coverage, join me when I ask Dave all about the keynotes and the general event. Join us next episode where Dave will talk about some of the sessions he attended! Continue reading “Episode 19 – Dave’s Hadoop Summit San Jose 2016 Retrospective”

In this episode, we have the second part of the interview with Hollin Wilkins and Mikhail Semeniuk, the driving forces behind the MLeap project where they go into more technical details and give tips on deploying MLeap in your environment. 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 18 – MLeap interview: Productionising Data Science – Part 2”

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”

Hopefully you enjoyed the first part of our interview with Sumeet, here is part two where we go into more detail about Yahoo’s use of Hadoop, with lots of interesting topics coming up including the splintering of the ecosystem, governance and much much more. Continue reading “Episode 16 – Interview part two with Sumeet Singh – Senior Director, Cloud and Big Data Platforms @ Yahoo!”