Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Juliet Hougland

Juliet Hougland
Data Scientist, Cloudera

Juliet Hougland is a data scientist at Cloudera and contributor/committer/maintainer for the Sparkling Pandas project. Her commercial applications of data science include developing predictive maintenance models for oil and gas pipelines at Deep Signal and designing and building a platform for real-time model application, data storage, and model building at WibiData. Juliet was the technical editor for Learning Spark by Karau et al. and Advanced Analytics with Spark by Ryza et al. She holds an MS in applied mathematics from the University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in math-physics.

Sessions

1:30pm5:00pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 B Level: Intermediate
Secondary topics:  Pydata
Juliet Hougland (Cloudera)
Average rating: ****.
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Using an interactive demo format with accompanying online materials and data, data scientist Juliet Hougland offers a practical overview of the basics of using Python data tools with a Hadoop cluster. Read more.