Year: 2018

How to Become a Data Scientist in 6 Months a Hacker’s Approach to Career Planning

I’ve been digging around for some good presentations, giving a listen to some videos from PyData London 2016. Out of the videos I watched, I chose this talk by Tetiana Ivanova. This is a good talk for those looking to get into working as a data scientist. Here’s a few notes I made while watching.... Continue reading →

Jonathan Ellis talks about Five Lessons in Distributed Databases

Notes on the talk… If it’s not SQL it’s not a database. Watch, you’ll get to hear why… ha! Then Jonathan covers the recent history (sort of recent, the last ~20ish years) of the industry and how we’ve gotten to this point in database technology. It takes 5+ years to build a database. Also the... Continue reading →

7 Tips for Creating Technical Content on The Open Source Show

I’m in a video with the rad Christina Warren! In this video we walk about 7 tips for creating technical content in a kind of rapid fire back and forth of ideas. Recording this was great, as the way we did it presented us with a chance to put these ideas together like this. Being... Continue reading →

Lena presents “So You Want to Run Data-Intensive Systems on Kubernetes”

If you’re interested in running data-intensive systems (think Apache Cassandra, DataStax Enterprise, Kafka, Spark, Tensorflow, Elasticsearch, Redis, etc) in Kubernetes this is a great talk. @Lenadroid covers what options are available in Kubernetes, how architectural features around pods, jobs, stateful sets, and replica sets work together to provide distributed systems capabilities. Other features she continues... Continue reading →