Anaconda

Visualizing 1 Billion Points of Data: Doing it Right

Use Datashading to Interactively Visualize Big Data Sets
Visualization is the best way to explore and communicate insights about data. Whether you are dealing with geospatial, time series, or tabular data, interactive graphics allow everyone on your team, from analysts to executives, to understand the patterns in your data.

But as data grows to include millions and billions of points, traditional visualization techniques break down. Whether you're loading the data into limited memory or separating the signal from the noise when thousands of data points occupy each pixel, as data gets big, visualization gets challenging.

We are here to help - Continuum Analytics' data scientists and engineers have developed a new Big Data visualization approach called datashading. Join us for an on-demand webinar on Big Data visualization with the new datashader library, led by Continuum Analytics CTO Peter Wang and Solution Architect Dr. Jim Bednar.

You'll learn how to:
  • Visualize Big Data the Right Way - and why so many people do it wrong
  • Interactively visualize 100 million points of data in a Jupyter Notebook
  • Create live, interactive dashboards of Big Data sets in less than 300 lines of Python - no JavaScript required
  • Visualize the famous NYC taxi ride data set at a new level of detail and interactivity
Join us for the webinar and learn to visualize and explore your largest data sets in new ways.

Meet Our Speakers

  • Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.

    Peter’s interests in the fundamentals of vector computing and interactive visualization led him to co-found Anaconda (formerly Continuum Analytics). Peter leads the product engineering team for the Anaconda data science ecosystem and works on product engineering and software architecture for open source projects including Bokeh.

    As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating and teaching Python at conferences around the world. Peter holds a BA in Physics from Cornell University.
  • James Bednar is a Senior Solutions Architect at Anaconda. He is also an Honorary Fellow in the School of Informatics at the University of Edinburgh, Scotland.

    Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects HoloViews, ImaGen, Param, and Datashader.

    Prior to joining Anaconda, Dr. Bednar was a lecturer and researcher in Software Engineering and in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
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