Big Data is About Agility
Any technology is only as good as the way in which you use it.
Archive for the ‘Tools’ Category
Jupyter Notebook Best Practices for Data Science
We present some best practices that we implemented after working with the Notebook—and that might help your data science teams as well.
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.
Materialized Views with Cassandra
In this screencast, Principal Engineer and Cassandra committer Gary Dusbabek provides an overview of Materialized Views.
Noteworthy Links: Hadoop Edition
Hadoop is 10 years old! Check out these related links.
Jupyter Notebook for Data Science Teams
Data Scientist Jonathan Whitmore has just released a screencast tutorial for Jupyter Notebooks.
Building a Prediction Engine using Spark, Kudu, and Impala
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.
Why Notebooks Are Super-Charging Data Science
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.