In This Whitepaper

Traditional data science project deployments typically involve complex, time-consuming processes that take data scientists away from what they do best: exploring and analyzing data. But why place this burden on your data science team when Anaconda Enterprise can handle the process instead—all with the single click of a button?

In this free whitepaper from Team Anaconda, our data science experts share:

  • The factors to consider when deploying data science projects
  • How to leverage Anaconda Project for data science encapsulation
  • The unparalleled advantages of one-click data science deployments through the power of Anaconda Enterprise

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Productionizing and Deploying Secure and Scalable Data Science Projects

Empower your data science team with one-click deployments from Anaconda Enterprise

Christine Doig is a Senior Data Scientist at Continuum Analytics, where she worked on MEMEX, a DARPA-funded project helping stop human trafficking. She has 5+ years of experience in analytics, operations research, and machine learning in a variety of industries, including energy, manufacturing, and banking. Christine holds a MS in Industrial Engineering from the Polytechnic University of Catalonia in Barcelona. She is an open source advocate and has spoken at PyData, EuroPython, SciPy, PyCon, and many other conferences.

About the Authors: Christine Doig & Kris Overholt

Full Chapter List

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Chapter 1

01

Chapter 2

02

Chapter 3

05

Chapter 4

32

Chapter 5

40

Chapter 6

48

Jonas Kent

Creative, W, Entertainment

These guys are the best at what they do - they know their stuff. Just reading their various ebooks will be proof enough.

Jane Doe

CEO/Founder, GoodWork Inc.

These guys are the best at what they do - they know their stuff. Just reading their various ebooks will be proof enough.

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Kris Overholt is a Product Manager at Continuum Analytics, developing the cluster management features of Anaconda. He has 10+ years of experience in scientific computing, systems administration, computational modeling and more. Kris holds a Ph.D. in Civil Engineering from the University of Texas and a Master’s degree from Worcester Polytechnic Institute, focusing on computational fluid dynamics.

Productionizing and Deploying Secure 
and Scalable Data Science Projects

Empower your data science team with one-click deployments from Anaconda Enterprise

Christine Doig is a Senior Data Scientist at Continuum Analytics, where she worked on MEMEX, a DARPA-funded project helping stop human trafficking. She has 5+ years of experience in analytics, operations research, and machine learning in a variety of industries, including energy, manufacturing, and banking. Christine holds a MS in Industrial Engineering from the Polytechnic University of Catalonia in Barcelona. She is an open source advocate and has spoken at PyData, EuroPython, SciPy, PyCon, and many other conferences.

About the Authors: Christine Doig & Kris Overholt

Kris Overholt is a Product Manager at Continuum Analytics, developing the cluster management features of Anaconda. He has 10+ years of experience in scientific computing, systems administration, computational modeling and more. Kris holds a Ph.D. in Civil Engineering from the University of Texas and a Master’s degree from Worcester Polytechnic Institute, focusing on computational fluid dynamics.

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