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Anaconda Enterprise 5
Live Demo
Gus Cavanaugh, Product Marketing Manager
© 2017 Anaconda - Confidential & Proprietary 2
Product Marketing Manager
Gus Cavanaugh
Gus Cavanaugh is a Product Marketin...
Agenda
• Data Science in the Enterprise
• Anaconda Overview
◦ Anaconda Distribution
◦ Anaconda Enterprise
• Demo
© 2017 An...
Data Science in the
Enterprise
© 2017 Anaconda Inc- Confidential & Proprietary
5© 2017 Anaconda, Inc. - Confidential & Proprietary
What is Data Science?
6© 2017 Anaconda, Inc. - Confidential & Proprietary
What is Data Science?
7© 2017 Anaconda, Inc. - Confidential & Proprietary
What is Data Science?
The Data Science Team
8© 2017 Anaconda, Inc. - Confidential & Proprietary
What About the Rest of the Organization?
9© 2017 Anaconda, Inc. - Confidential & Proprietary
Sales
Marketing User research...
10© 2017 Anaconda, Inc. - Confidential & Proprietary
Works with: Excel, Tableau, SQL Python, Hadoop, Spark Excel, Salesfor...
Anaconda Overview
© 2017 Anaconda Inc- Confidential & Proprietary
The Most Popular Python Data Science Platform with
Over 4.5M Users
© 2017 Anaconda - Confidential & Proprietary 12
© 2017 Anaconda - Confidential & Proprietary 13
The Most Trusted Distribution for Data Science
Anaconda Enterprise
© 2017 Anaconda Inc- Confidential & Proprietary 14
Data Scientists IT/Administrators Business Analysts
& Managers
Anaconda Enterprise Users
© 2017 Anaconda Inc- Confidential...
• Centralized, browser-based
notebook collaboration with
versioning and access control
• Integrated data science
environme...
• Upload and share projects and
notebooks with portable data
science environments
• Enterprise-grade data science
reproduc...
• One-click deployment of self-service
notebooks, interactive visualizations,
machine learning models, REST APIs and
other...
• On-premises data science
package repository
• License filtering and license
audit reports
• Event logging and auditing o...
Demo
© 2017 Anaconda - Confidential & Proprietary 20
Questions?
© 2017 Anaconda - Confidential & Proprietary 21
© 2017 Anaconda - Confidential & Proprietary 22
Next Steps
Download Anaconda Distribution
https://www.anaconda.com/downloa...
Backup
© 2017 Anaconda - Confidential & Proprietary 23
24
Project 1 Project 2
Deploy
Notebooks
Models - REST APIs
Dashboards Applications
© 2017 Anaconda Inc- Confidential & Proprietary 25
Data Science Platform
kubernetes
Data Scientists
IT & Admin
BA & Manage...
New Capabilities in Anaconda Enterprise 5
• Scalable architecture for on-
premises and cloud
installations
• Integrated UX...
© 2017 Anaconda Inc- Confidential & Proprietary 27
Key Strengths Unique Differentiators
Most comprehensive
data science
de...
Portable Data Science encapsulation
Anaconda Project
© 2017 Anaconda - Confidential & Proprietary 28
© 2016 Continuum Analytics - Confidential & Proprietary
Laptop / Desktop
conda env 1
Analysis 1
conda env 2 conda env 3
An...
© 2016 Continuum Analytics - Confidential & Proprietary
Laptop / Desktop Laptop / Desktop / Server
Project 1 Project 2 Pro...
© 2016 Continuum Analytics - Confidential & Proprietary
Laptop / Desktop
Project 1 Project 2 Project 3
Project 1 Project 2...
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Tour Anaconda Enteprise 5 Without Leaving Your Desk

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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 enterprise-ready data science platform, Anaconda Enterprise 5! Among other key benefits, the new version offers:
- 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

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Tour Anaconda Enteprise 5 Without Leaving Your Desk

  1. 1. Anaconda Enterprise 5 Live Demo Gus Cavanaugh, Product Marketing Manager
  2. 2. © 2017 Anaconda - Confidential & Proprietary 2 Product Marketing Manager Gus Cavanaugh Gus Cavanaugh is a Product Marketing Manager at Anaconda, where he focuses on translating technical capabilities into user benefits. He has over five years’ experience in analytics and consulting for enterprises. Prior to joining Anaconda, he worked on projects ranging from small scale data apps and dashboards to distributed Hadoop clusters at companies including IBM and Booz Allen Hamilton. Gus holds an MS in Systems Engineering from George Washington University and a BS in Business Administration from Washington & Lee University. He is a frequent speaker on analytics topics for non- technical audiences. X© 2017 Anaconda, Inc. - Confidential & Proprietary
  3. 3. Agenda • Data Science in the Enterprise • Anaconda Overview ◦ Anaconda Distribution ◦ Anaconda Enterprise • Demo © 2017 Anaconda Inc- Confidential & Proprietary 3
  4. 4. Data Science in the Enterprise © 2017 Anaconda Inc- Confidential & Proprietary
  5. 5. 5© 2017 Anaconda, Inc. - Confidential & Proprietary What is Data Science?
  6. 6. 6© 2017 Anaconda, Inc. - Confidential & Proprietary What is Data Science?
  7. 7. 7© 2017 Anaconda, Inc. - Confidential & Proprietary What is Data Science?
  8. 8. The Data Science Team 8© 2017 Anaconda, Inc. - Confidential & Proprietary
  9. 9. What About the Rest of the Organization? 9© 2017 Anaconda, Inc. - Confidential & Proprietary Sales Marketing User research Domain experts
  10. 10. 10© 2017 Anaconda, Inc. - Confidential & Proprietary Works with: Excel, Tableau, SQL Python, Hadoop, Spark Excel, Salesforce, Marketo Thinks data is: spreadsheets, tables dataframes, arrays information to act on Delivers: Reports, dashboards, spreadsheets Notebooks, code, interactive visualizations Recommendations, decisions, actions Other titles: Data analyst, analyts Research scientist, Machine learning engineer Executives, managers (in Sales, marketing, HR…) analytics data science self-service analytics Data ScientistsBiz Analyst Domain experts
  11. 11. Anaconda Overview © 2017 Anaconda Inc- Confidential & Proprietary
  12. 12. The Most Popular Python Data Science Platform with Over 4.5M Users © 2017 Anaconda - Confidential & Proprietary 12
  13. 13. © 2017 Anaconda - Confidential & Proprietary 13 The Most Trusted Distribution for Data Science
  14. 14. Anaconda Enterprise © 2017 Anaconda Inc- Confidential & Proprietary 14
  15. 15. Data Scientists IT/Administrators Business Analysts & Managers Anaconda Enterprise Users © 2017 Anaconda Inc- Confidential & Proprietary 15 Developers & ML Engineers • Collaborate • Reproduce • Deploy • Govern • Secure • Scale • Self-Serve • Interact • Understand • Build • Publish • Consume Primary users Secondary users
  16. 16. • Centralized, browser-based notebook collaboration with versioning and access control • Integrated data science environments with Jupyter Notebooks and JupyterLab • Manage and share data science projects and dependencies Collaboration © 2017 Anaconda Inc- Confidential & Proprietary 16 With Anaconda Enterprise
  17. 17. • Upload and share projects and notebooks with portable data science environments • Enterprise-grade data science reproducibility and portability with Anaconda Project • Mirror data science packages and dependencies within your organization Reproducibility © 2017 Anaconda Inc- Confidential & Proprietary 17 With Anaconda Enterprise
  18. 18. • One-click deployment of self-service notebooks, interactive visualizations, machine learning models, REST APIs and other apps • Industry standard containerization and cluster orchestration technology • Scalable on-premises or cloud-based deployment server with configurable cluster sizes • Secure project deployments with enterprise authentication and end-to-end encryption Deployment © 2017 Anaconda Inc- Confidential & Proprietary 18 With Anaconda Enterprise
  19. 19. • On-premises data science package repository • License filtering and license audit reports • Event logging and auditing of package, project and deployment activity • Integrated with enterprise-grade identity providers: LDAP, AD, SAML, Kerberos • Secure network communications and end-to-end TLS/SSL encryption • Centralized user management portal and token-based access to deployed models and applications • Distribute Anaconda libraries across Hadoop and Spark clusters • Connect Anaconda Enterprise to Spark or Dask and perform distributed computations interactively • Scalable distributed computation resources for project editing and user-deployed data science apps Governance © 2017 Anaconda Inc- Confidential & Proprietary 19 Security Scalability
  20. 20. Demo © 2017 Anaconda - Confidential & Proprietary 20
  21. 21. Questions? © 2017 Anaconda - Confidential & Proprietary 21
  22. 22. © 2017 Anaconda - Confidential & Proprietary 22 Next Steps Download Anaconda Distribution https://www.anaconda.com/download Sign-up for Anaconda Enterprise Trial https://go.anaconda.com/test-drive-anaconda-enterprise-5/ Contact Sales +1 (512) 776-1066 | sales@anaconda.com
  23. 23. Backup © 2017 Anaconda - Confidential & Proprietary 23
  24. 24. 24 Project 1 Project 2 Deploy Notebooks Models - REST APIs Dashboards Applications
  25. 25. © 2017 Anaconda Inc- Confidential & Proprietary 25 Data Science Platform kubernetes Data Scientists IT & Admin BA & Managers On-Premises Cloud Architecture Diagram Users Deployment Infrastructure packages projects deployments ML REST APIs Dashboards Notebooks Web Apps Bokeh Apps Shiny Apps AWS Google Azure
  26. 26. New Capabilities in Anaconda Enterprise 5 • Scalable architecture for on- premises and cloud installations • Integrated UX & UI, including JupyterLab • Data science deployment • Operations center • Centralized user management © 2017 Anaconda Inc- Confidential & Proprietary 26
  27. 27. © 2017 Anaconda Inc- Confidential & Proprietary 27 Key Strengths Unique Differentiators Most comprehensive data science development cycle - ML algorithms development and package management - Self-service dashboards and reports for managers Widest range of deployment options - Deployment of: - Notebooks (Python, R, Spark) - REST APIs - Interactive applications: BokehApps, ShinyApps - Web apps (Django, Flask) - Composable applications Unique continuity of experience and reproducibility - Identical experience on laptop and Anaconda: JupyterLab, Jupyter Notebooks - Run platform data science projects on Linux, Windows, macOS Only vendor to support and indemnify Anaconda Distribution - First-class integration with Anaconda Distribution - Security (CVEs, scanning, alerts, patches)
  28. 28. Portable Data Science encapsulation Anaconda Project © 2017 Anaconda - Confidential & Proprietary 28
  29. 29. © 2016 Continuum Analytics - Confidential & Proprietary Laptop / Desktop conda env 1 Analysis 1 conda env 2 conda env 3 Analysis 2 Analysis 3 Data Science Development Anaconda Distribution Anaconda Distribution & conda make data science reproducibility and deployment easier Laptop / Desktop / Server conda env 1 Analysis 1 conda env 2 conda env 3 Analysis 2 Analysis 3 Data Science Reproducibility & Deployment Anaconda Distribution Docker container Windows, macOS, Linux Windows, macOS, Linux • Manage software packages across platforms: Windows, macOS, Linux • Isolate and recreate environments
  30. 30. © 2016 Continuum Analytics - Confidential & Proprietary Laptop / Desktop Laptop / Desktop / Server Project 1 Project 2 Project 3 Project 1 Project 2 Project 3 Data Science Development Data Science Reproducibility & Deployment Windows, macOS, Linux Windows, macOS, Linux Anaconda Project brings additional capabilities for data science reproducibility and deployment • Export environments (with pinned versions) cross-platform • Manage other dependencies: data, variables, commands, services • Get the right abstraction for data scientists (vs Docker)
  31. 31. © 2016 Continuum Analytics - Confidential & Proprietary Laptop / Desktop Project 1 Project 2 Project 3 Project 1 Project 2 Project 3 Data Science Development Data Science Reproducibility, Development and Deployment Anaconda Enterprise Container 1 Container 2 Container 3 Container 4 Anaconda Enterprise makes project collaboration and deployment secure and scalable • Easily deploy projects a wide variety of “deployment” types: notebooks, REST APIs, dashboards, web apps… • Collaborate with other data scientists • Securely share deployments with other applications and users

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