Explore the Data Science Platform for the Entire Team

Here at Anaconda, our goal is to build the best end-to-end platform for data scientists and the organizations they serve. With this in mind, we’ve created a new and improved version of our data

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science platform for enterprises, Anaconda Enterprise 5!

Beloved by data scientists, IT admins and business analysts alike, Anaconda Enterprise 5 amplifies the organizational impact of your data science team with these key benefits:

  • Quick and easy notebook collaboration with versioning and access control
  • One-click scalable, portable and reproducible data science deployments
  • Governance of data science assets via on-premises package repository
  • Integration with enterprise identity providers and end-to-end TLS/SSL encryption
  • Interactive, distributed computations with Hadoop/Spark clusters

Want to see these features in action? Register now for our free new webinar, Unveiling Anaconda Enterprise 5—The Enterprise-Ready Data Science Platform, presented by Anaconda Senior Product Manager Kris Overholt.

In This Webinar

Travis Oliphant, President, Chief Data Scientist and Co-Founder, creator of NumPy and author of Guide to NumPy: 2nd Edition, will discuss the impact that the notebook experience has had on data science, and how JupyterLab—the next generation data science IDE—has evolved from the classic notebooks.

As notebooks grew in popularity, the data science community asked for more features to enable notebooks to play a more central role in data science projects. With this in mind, members of the community joined forces to create JupyterLab, an open source project that takes the classic notebooks to the next level. The new platform adapts easily to multiple workflows, enabling data scientists to seamlessly move between notebooks, scripts, data, and applications. And this is just the beginning.

In this webinar, Travis and Product Marketing Manager Gus Cavanaugh will cover:

  • The history of notebook environments
  • How JupyterLab differs from the classic notebooks
  • Why JupyterLab will be the default experience for Anaconda Enterprise
  • A tour of key functionalities of JupyterLab
  • Examples of data science projects developed using JupyterLab

*Required. Webinar access will be emailed to you. We value your privacy.

Productionizing and Deploying Secure and Scalable Data Science Projects

Amplify the Impact of Enterprise Data Scientists Throughout Your Organization

Kris Overholt works with DevOps, product engineering and platform infrastructure for the Anaconda Enterprise data science platform. His areas of expertise include distributed systems, data engineering and computational science workflows.

Kris has over ten years’ experience in a range of areas, including applied research, high performance and scientific computing, small-scale and large-scale experiments, system administration, open-source software development, computational modeling and hands-on technician/electronics work.

Kris received his PhD in Civil Engineering from The University of Texas at Austin, and holds a BS and MS in Fire Protection Engineering. Prior to joining Anaconda, he worked at the National Institute of Standards and Technology (NIST), Southwest Research Institute and The University of Texas at Austin.

About the Presenter: Kris Overholt

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Copyright © 2017

Unveiling Anaconda Enterprise 5

Amplify the Impact of Enterprise Data Scientists Throughout Your Organization

Kris Overholt works with DevOps, product engineering and platform infrastructure for the Anaconda Enterprise data science platform. His areas of expertise include distributed systems, data engineering and computational science workflows.

Kris has over ten years’ experience in a range of areas, including applied research, high performance and scientific computing, small-scale and large-scale experiments, system administration, open-source software development, computational modeling and hands-on technician/electronics work.

Kris received his PhD in Civil Engineering from The University of Texas at Austin, and holds a BS and MS in Fire Protection Engineering. Prior to joining Anaconda, he worked at the National Institute of Standards and Technology (NIST), Southwest Research Institute and The University of Texas at Austin.

About the Author:
Kris Overholt

@koverholt

Unveiling Anaconda Enterprise 5

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