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

Schedule: Visualization & user experience sessions

9:00am12:30pm Tuesday, March 14, 2017
Location: 210 C/G Level: Intermediate
Secondary topics:  R
Stephen Elston (Quantia Analytics, LLC), Ryan Hafen (Hafen Consulting)
Average rating: ****.
(4.12, 8 ratings)
Divide and recombine techniques provide scalable methods for exploration and visualization of otherwise intractable datasets. Stephen Elston and Ryan Hafen lead a series of hands-on exercises to help you develop skills in exploration and visualization of large, complex datasets using R, Hadoop, and Spark. Read more.
1:30pm5:00pm Tuesday, March 14, 2017
Location: 210 C/G Level: Beginner
Brian Suda (
Average rating: ***..
(3.00, 5 ratings)
Visualizations are a key part of conveying any dataset. D3 is the most popular, easiest, and most extensible way to get your data online in an interactive way. Brian Suda outlines best practices for good data visualizations and explains how you can build them using D3. Read more.
10:10am10:25am Wednesday, March 15, 2017
Location: Grand Ballroom
Secondary topics:  Geospatial, Sports
Rajiv Maheswaran (Second Spectrum)
Average rating: ****.
(4.91, 35 ratings)
What happens when machines understand sports? As Rajiv Maheswaran demonstrates, everything changes, from how coaches coach and how players play to how storytellers tells stories and how fans experience the game. Read more.
11:00am11:40am Wednesday, March 15, 2017
Location: 212 A-B Level: Non-technical
Secondary topics:  Geospatial, R
Rumman Chowdhury (Accenture)
Average rating: ***..
(3.00, 2 ratings)
In collaboration with the Gray Area Foundation for the Arts and Metis Data Science, Rumman Chowdhury created an interactive data art installation with the purpose of educating San Franciscans about their own city. Rumman discusses the challenges of using historical, predigital-era data with D3 and R to craft a compelling and educational story residing at the intersection of art and technology. Read more.
11:50am12:30pm Wednesday, March 15, 2017
Location: 212 A-B Level: Beginner
Joe Hellerstein (UC Berkeley), Giorgio Caviglia (Trifacta), Alon Bartur (Trifacta)
Joe Hellerstein, Giorgio Caviglia, and Alon Bartur share their design philosophy for users and their experience designing UIs, illustrating their design principles with core elements from Trifacta, including the founding technology of predictive interaction, recent innovations like transform builder, and other developments in their core transformation experience. Read more.
1:50pm2:30pm Wednesday, March 15, 2017
Location: 212 A-B Level: Beginner
Average rating: **...
(2.67, 3 ratings)
From personalized newsfeeds to curated playlists, users want tailored experiences when they interact with their devices. Ricky Hennessy and Charlie Burgoyne explain how frog’s interdisciplinary teams of designers, technologists, and data scientists create data-driven, personalized, and adaptive user experiences. Read more.
4:20pm5:00pm Wednesday, March 15, 2017
Location: 212 A-B Level: Intermediate
Sean Kandel (Trifacta), Wei Zheng (Trifacta)
Average rating: ****.
(4.33, 3 ratings)
Sean Kandel and Wei Zheng offer an overview of an entirely new approach to visualizing metadata and data lineage, demonstrating automated methods for detecting, visualizing, and interacting with potential anomalies in reporting pipelines. Join in to learn what’s required to efficiently apply these techniques to large-scale data. Read more.
4:20pm5:00pm Thursday, March 16, 2017
Location: LL21 B
Warren Reed (US Treasury’s Office of Financial Research)
Average rating: ***..
(3.50, 2 ratings)
Warren Reed explains how he and his team at the US Treasury’s Office of Financial Research leverage data visualization techniques to build interactive data products for risk measurement and monitoring. Read more.