Shin Tanimoto offers techniques for visualizing microservices built by Spring Boot applications using Elasticsearch, Kibana and Spring Cloud Sleuth.
Randy Krum explains how to use the power of data visualization to convey actionable insights to an audience, making data clear and memorable by showing the audience what the data means.
David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.
Matthew Renze introduces the R programming language as well as demonstrates how R can be used to create data visualizations to complete day-to-day developer tasks.
Bryan Nehl introduces the D3.js visualization library, demonstrating and explaining the code behind some of the more practical and interesting visualizations and charts.
Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.
Larry Maccherone presents his top 10 tips for using data to influence others toward better decisions.
Lynne Cazaly shares ways to achieve greater buy-in, clearer communication and higher levels of engagement with team members, stakeholders, sponsors and business units using "visual agility".
Lynne Cazaly explains how to apply visual maps, models, metaphors, templates and processes that help build buy-in, boost contributions and collaboration, and make communication a breeze within teams.
Fabrice Aresu discusses the challenges faced using HTML5 and data visualization at a large European Investment Bank, covering performance, architectural & design choices, and lessons learnt.
Steve Rogalsky explains the basics of user story maps based on real case studies, showing pictures depicting projects’ progress and how that influenced iterative development and process visualization.