Bay Area BikeShare Data Analysis with Search and Spark Notebook

07 July 2015 in Querying / Tutorial - 1 minute read

In this tutorial, we use public data from Bay Area BikeShare and visualize bike trips patterns and their users to understand more the usage of the platform. Hue provides a Dynamic Search dashboard as well as the new Spark Notebook for enriching the data.

We recommend to start with the Trip dataset from and index it into Solr. For impatient people, we provide a subset of trips ready to be indexed as well as the weather data to be processed later with Spark. The Search Dashboard can be downloaded here, the Notebook can be downloaded and imported with Hue 3.9 or just copy pasted.


This demo combined with Real-time Spark Streaming have been presented at conference like Hadoop Summit and Big Data Day LA.

Happy Biking!



Example of interactive dashboard created by Drag&Drop


As usual feel free to comment on the hue-user list or @gethue!



A quick way to index the data with Solr:

bin/solr create_collection  -c  bikes



curl $u -data-binary @/home/test/index_data.csv -H 'Content-type:text/csv'

comments powered by Disqus

More recent stories

05 December 2019
Hue 4.6 and its improvements are out!
Read More
13 November 2019
Visually surfacing SQL information like Primary Keys, Foreign Keys, Views and Complex Types
Read More
31 October 2019
Missing some color? How to improve or add your own SQL syntax Highlighter
Read More