Tour Anaconda Enteprise 5 Without Leaving Your Desk

Anaconda Enterprise 5

Live Demo

Gus Cavanaugh, Product Marketing Manager

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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

Agenda

• Data Science in the Enterprise

• Anaconda Overview◦ Anaconda Distribution

◦ Anaconda Enterprise

• Demo

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Data Science in the Enterprise

© 2017 Anaconda Inc- Confidential & Proprietary

5© 2017 Anaconda, Inc. - Confidential & Proprietary

What is Data Science?





The Data Science Team


What About the Rest of the Organization?


Sales

Marketing User research

Domain experts


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, analytsResearch scientist, Machine

learning engineer

Executives, managers (in Sales,

marketing, HR…)

analytics data science self-service analytics

Data ScientistsBiz Analyst Domain experts

Anaconda Overview

© 2017 Anaconda Inc- Confidential & Proprietary

The Most Popular Python Data Science Platform with Over 4.5M Users



The Most Trusted Distribution for Data Science

Anaconda Enterprise


Data Scientists IT/Administrators Business Analysts & Managers

Anaconda Enterprise Users


Developers & ML Engineers

• Collaborate

• Reproduce

• Deploy

• Govern

• Secure

• Scale

• Self-Serve

• Interact

• Understand

• Build

• Publish

• Consume

Primary users Secondary users

• Centralized, browser-based notebook collaboration with versioning and access control

• Integrated data science environments with JupyterNotebooks and JupyterLab

• Manage and share data science projects and dependencies

Collaboration


With Anaconda Enterprise

• 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



• 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



• 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


Security Scalability

Demo


Questions?



Next Steps

Download Anaconda Distributionhttps://www.anaconda.com/download

Sign-up for Anaconda Enterprise Trialhttps://go.anaconda.com/test-drive-anaconda-enterprise-5/

Contact Sales+1 (512) 776-1066 | [email protected]

Backup


24

Project 1 Project 2

Deploy

Notebooks

Models - REST APIs

Dashboards Applications


Data Science Platform

kubernetes

Data Scientists

IT & Admin

BA & Managers

On-Premises

Cloud

Architecture Diagram

UsersDeployment Infrastructure

packages projects deployments

ML REST APIs

Dashboards

Notebooks

Web Apps

Bokeh Apps

Shiny Apps

AWS Google Azure

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



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)

Portable Data Science encapsulation

Anaconda Project


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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


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)


Laptop / Desktop

Project 1 Project 2 Project 3

Project 1 Project 2 Project 3

Data Science DevelopmentData 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

Technology

Tour Anaconda Enteprise 5 Without Leaving Your Desk