One way to give back to the open source community that provides us with tools is to help others evaluate and choose those tools in a way that takes advantage of our experience. We offer this analysis, along with explanations of the various criteria upon which we based our decisions.
Archive for the ‘Tools’ Category
Editor’s note: Welcome to Throwback Thursdays! Every third Thursday of the month, we feature a classic post from the earlier days of our company, gently updated as appropriate. We still find them helpful, and we think you will, too! The original version of this post can be found here. The Jupyter Notebook is a fantastic […]
This post gives you a quick overview of the new structured streaming feature in Spark 2.0, illustrating why it’s an exciting addition.
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.
In this screencast, Principal Engineer and Cassandra committer Gary Dusbabek provides an overview of Materialized Views.
Data Scientist Jonathan Whitmore has just released a screencast tutorial for Jupyter Notebooks.
In this post, Richard walks you through a demo based on the Meetup.com streaming API to illustrate how to predict demand in order to adjust resource allocation.