Strata Hadoop World NY 2016 - Visualization & user experience Track

Strata Hadoop World NY 2016 has following interestinig talks in its Visualization & user experience sessions

Introduction to visualizations using D3 by Brian Suda

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.

Holographic data visualizations: Welcome to the real world by Brad Sarsfield

Data visualizations using interactive holograms help us make smarter decisions and explore ideas faster by inspecting every vantage point of our data and interacting with it in new, more personal and human ways. There are new rules for the new world. Join Brad Sarsfield as he explores and experiments with the possibilities of the next generation of data visualization experiences.

The devil is in the details: Interactive, multiscale visualization of data lineage by Sean Kandel

Traditional ways of visualizing data lineage provide static mapping source datasets to various targets or outputs. As the breadth of analysis occurring in schema-on-read environments increases, tracking how elements of the data were derived is critical. Sean Kandel introduces a new way to visualize data lineage allowing stakeholders a transparent view into their data.

What ties to what? Visualizing large-scale customer text data with bipartite graphs by Mark Turner

Which suppliers are most likely to have delivery or quality issues? Does service, product placement, or price make the biggest difference in customer sentiment? Text data from sources like email and social media can give answers. Mark Turner explains how to see the associations between any two variables in text data by combining text analytics and the bipartite graph visualization technique.

Investigating event graphs at scale: Going from theory to practice by Leo Meyerovich

Visual analysis is changing in the era of GPU clusters. Now that scale compute is easier, the bottleneck is mapping data to visualizations and intelligently interacting with them. Using datasets uploaded to Graphistry, Leo Meyerovich provides a glimpse into the emerging workflows for graph and linked event analysis and offers common tricks for success.

Caravel: An open source data exploration and visualization platform by Maxime Beauchemin

Airbnb developed Caravel to provide all employees with interactive access to data while minimizing friction. Caravel's main goal is to make it easy to slice, dice, and visualize data. Maxime Beauchemin explains how Caravel empowers each and every employee to perform analytics at the speed of thought.

Data risk intelligence in a regulated world by Uma Raghavan

Uma Raghavan explains why you're about to see companies whose business models depend on using their customers' data, like Facebook, Google, and many others, scramble to keep up with the flood of new and evolving laws on data privacy.

Five-senses data: Using your senses to improve data signal and value by Cameron Turner and Brad Sarsfield and Hanna Kang-Brown and Evan Macmillan

Data should be something you can see, feel, hear, taste, and touch. Drawing on real-world examples, Cameron Turner, Brad Sarsfield, Hanna Kang-Brown, and Evan Macmillan cover the emerging field of sensory data visualization, including data sonification, and explain where it's headed in the future.