Learning from Imbalanced Classes
This post gives insight and concrete advice on how to tackle imbalanced data.
Posts Tagged ‘Technical’
Scaling Data Science: Dream Big, Start Medium-ish
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.
How I Learned to Stop Worrying and Love Ephemeral Storage
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.
Structured Streaming in Spark
This post gives you a quick overview of the new structured streaming feature in Spark 2.0, illustrating why it’s an exciting addition.
Brain Monitoring with Kafka, OpenTSDB, and Grafana
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.
Building Pipelines to Understand User Behavior
In this post, we cover what’s needed to understand user activity, and we look at some pipeline architectures that support this analysis.
Kafka Simple Consumer Failure Recovery
This post walks you through a simple failure recovery mechanism, as well as a test harness that allows you to make sure this mechanism works as expected.
Noteworthy Links: Social Media Edition
In this post we share some links to interesting work being done with social media data.
Materialized Views with Cassandra
In this screencast, Principal Engineer and Cassandra committer Gary Dusbabek provides an overview of Materialized Views.