At the Strata + Hadoop World conference in New York last week, there were an impressive 16 tracks of session talks. A lot of them focused on the tools that everyone is excited about, but I focused on the goals people are using data science to accomplish. Here are a few of the sessions that stood out.
We’re at Enterprise Dataversity this week in Chicago, and next week we’ll be in NYC for Strata + Hadoop World. In the midst of this busy September, here are some articles we’ve come across and enjoyed.
We present some best practices that we implemented after working with the Notebook—and that might help your data science teams as well.
In this post, we use a Jupyter Notebook go over the steps for creating a proof of concept for the image processing piece of our Caltrain work.
In this post we’ll start looking at the nuts and bolts of making our Caltrain work possible: image processing, video analysis, and image recognition.
This post gives insight and concrete advice on how to tackle imbalanced data.
On July 13th we welcomed the Open Data Science Conference meetup series to our HQ—our speaker talked about thinking critically about the size of your data.
This post will show architects and developers how to set up Hadoop to communicate with S3, use Hadoop commands directly against S3, use distcp to perform transfers between Hadoop and S3, and how distcp can be used to update on a regular basis based only on differences.
A team of our data scientists recently won 2nd place in Confluent’s Kafka Hackathon. In this post, explore their project—streaming EEG data and visualizing it.