Silicon Valley Code Camp : October 1 & 2, 2016

Walt Ritscher at LinkedIn
About Walt
Walt's enthusiasm for crafting software interfaces blossomed early. Just a few days after discovering how to move pixels around a computer screen he was devouring books on the topic of computer graphics and UI design. Before long he was sharing his discoveries with other technology buffs, a lifelong pursuit that has led to teaching engagements at universities, private training companies and the international conference circuit. As a consultant he has worked with a wide spectrum of clients, including Microsoft, HP, and Intel. He is now a staff author at, part of the LinkedIn family, where his content team produces hundreds of technical training courses for software developers each year. In an earlier phase of life he was a professional musician, first working jobs as a trombonist, later exploring music with keyboards and synthesizers.
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Speaking Sessions

  • From Dull to Dazzling: How Visualization enhances data comprehension

    Our applications and devices are gathering and storing data at unprecedented levels. Once the information is in our data centers we need tools to help us understand the hidden knowledge contained in that stockpile. We’ve got business intelligence tools that can help but at some point in the data analytics cycle you need to show results to the stakeholder. That’s when choosing the correct visual representation of the data becomes vital. Do it wrong and the data is merely wrapped in pretty graphics; do it right and the user perceives their information in clear and meaningful patterns. There has been an explosion of research on ways to present data in graphical form in the last decade. This is often called Data Visualization or Information Graphics and it is becoming a must have skill for UI developers. This session explores the overall visual concepts that make data easier to grasp. Do you know the best way to show data to your users, so that the information is clear and understandable? Come to this session to learn how to make your data shine.