Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Drone data analytics using Spark, Python, and Plotly

Jules Malin (GoPro)
4:00pm–4:30pm Tuesday, March 6, 2018
Data engineering and architecture, Data science and machine learning, Visualization and user experience
 Location: LL20 A

Drones and smart devices are generating billions of event logs for companies, presenting the opportunity to discover insights that inform product, engineering, and marketing team decisions. Jules Malin explains how technologies like Spark and analytics and visualization tools like Python and Plotly enable those insights to be discovered in the data. In turn, those insights help drive product innovation, performance improvements, and better customer experiences.

Spark solves the constraints of massive data ingestion, processing, and analytic dataset creation. PySpark enables reporting, analytics, and data science to be performed on the massive analytic datasets, and open source tools like Plotly enable crucial visualizations, storytelling, and insight delivery. The combination of these tools and technologies allow companies to extract insights, compete on analytics, and ultimately deliver constantly improving products and services for their customers.

Photo of Jules Malin

Jules Malin

GoPro

Jules Malin is a manager of product analytics and data science at GoPro, where he leads a team responsible for discovering product and behavioral insights from GoPro’s growing family and ecosystem of smart devices and driving product and user experience improvements, including influencing and refining data pipelines in Hadoop/Spark and developing scalable machine learning data products, metrics, and visualizations that produce actionable insights. Previously, Jules worked in product management and analytics engineering at Intel and Shutterfly. He holds a master’s degree in predictive analytics from Northwestern University.