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.
There is little limit to what can be done with a notebook. As well as the data science work you might expect, such as manipulating and graphing data, we’ve used them for sharing work on analytical tasks such as motion detection in video. In this post Edd takes a look at why we’re seeing notebooks everywhere.