Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Schedule: Visualization, Design, and UX sessions

9:0012:30 Tuesday, 22 May 2018
Data-driven business management, Strata Business Summit
Location: Capital Suite 12 Level: Non-technical
Radhika Dutt (Radical Product), Geordie Kaytes (Fresh Tilled Soil), Nidhi Aggarwal (Radical Product)
Average rating: ****.
(4.00, 2 ratings)
These days it’s easy for companies to say, "We measure everything!” The problem is, most popular metrics may not be appropriate or relevant for your business. Measurement isn’t free and should be done strategically. Radhika Dutt, Geordie Kaytes, and Nidhi Aggarwal explain how to align measurement with your product strategy so you can measure what matters for your business. Read more.
13:3017:00 Tuesday, 22 May 2018
Visualization and user experience
Location: Capital Suite 9 Level: Non-technical
Danyel Fisher (, Miriah Meyer (University of Utah)
Average rating: ****.
(4.00, 4 ratings)
Danyel Fisher and Miriah Meyer explore the human side of data analysis and visualization, covering operationalization, the process of reducing vague problems to specific tasks, and how to choose a visual representation that addresses those tasks. Along the way, they also discuss single views and explain how to link them into multiple views. Read more.
12:0512:45 Wednesday, 23 May 2018
Data science and machine learning, Visualization and user experience
Location: Capital Suite 14 Level: Intermediate
Jeff Fletcher (Cloudera)
Average rating: ****.
(4.73, 11 ratings)
As big data adoption grows, Apache Hadoop, Apache Spark, and machine learning technologies are increasingly being used to analyze ever-larger datasets, but we still have to keep telling stories about the data and making sure the message is clear. Jeff Fletcher details the tools and techniques that are relevant to data visualization practitioners working with large datasets and predictive models. Read more.
14:5515:35 Wednesday, 23 May 2018
Brian O'Neill (Designing for Analytics)
Average rating: ****.
(4.00, 2 ratings)
Gartner says 85%+ of big data projects will fail. Your own company may have even spent millions on a recent project that isn’t really delivering the value or UX everyone hoped for. Brian O'Neill explains why CDOs, PMs, and business leaders who leverage design to prioritize utility, usability, and customer value will realize the best ROIs and demonstrates how to start evaluating your UX. Read more.
16:3517:15 Wednesday, 23 May 2018
Data science and machine learning, Visualization and user experience
Location: Capital Suite 14 Level: Beginner
Bargava Subramanian (Binaize), Amit Kapoor (narrativeVIZ)
Average rating: *****
(5.00, 1 rating)
Creating visualizations for data science requires an interactive setup that works at scale. Bargava Subramanian and Amit Kapoor explore the key architectural design considerations for such a system and discuss the four key trade-offs in this design space: rendering for data scale, computation for interaction speed, adapting to data complexity, and being responsive to data velocity. Read more.
11:1511:55 Thursday, 24 May 2018
Erin Recachinas (Zoomdata)
Average rating: ****.
(4.00, 2 ratings)
The value of real-time streaming analytics with historical data is immense. Big data application Zoomdata updates historical dashboards in real time without complex reaggregations, but streaming in the age of the IoT requires handling of data in volumes not seen in traditional feeds. Erin Recachinas explains how Zoomdata moved to a scalable microservice architecture for streaming sources. Read more.