You’re currently using the open source KNIME Analytics Platform, but looking for more functionality - especially for working across teams and business units? KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME Server WebPortal or can use REST APIs to integrate workflows as analytic services to applications, IoT, and systems. These slides are from a webinar where we introduce all KNIME Server features. It covers everything you need to manage your analytics at scale - deploying your workflows for sharing and collaboration, scheduling and automating tasks, templating and version control, as well as enterprise integration. it highlights the power of the REST API of KNIME Server, and the KNIME WebPortal - the ideal way for bringing data analytics to your non experts. View the webinar at: https://www.youtube.com/watch?v=qFV4P9-enZk

1. © 2019 KNIME AG. All rights reserved.
Webinar: Sharing and Deploying
Data Science with KNIME Server
Roland Burger
Data Scientist
KNIME

2. © 2019 KNIME AG. All rights reserved. 2
KNIME Server
• Collaboration
– Share Expertise and Templates/Blueprints
• Automation
– Schedule, Monitor, Update
• Deployment
– To Humans: Analytical Applications (“Guided Analytics”)
– To Machines: via REST and custom APIs
• Management
– Manage distributed setups
– Integrate with existing enterprise setup (authentication)

3. © 2019 KNIME AG. All rights reserved. 3
Challenges Operationalizing Data Science
R&D MFG IT Marketing Sales … more
Data Science Driven Applications
Large, complex
variety of
technologies
Providing skills
and resources Continuous,
high quality
delivery
Mainstreaming
across the
organization
Creating Great Data Science

4. © 2019 KNIME AG. All rights reserved. 4
Challenges Operationalizing Data Science
R&D MFG IT Marketing Sales … more
Data Science Driven Applications
Large, complex
variety of
technologies
Providing skills
and resources
Continuous,
high quality
delivery
Mainstreaming
across the
organization
Productionizing Data Science

5. © 2019 KNIME AG. All rights reserved. 5
Better Decision-making, Faster!
KNIME
Integrations
KNIME
Analytics Platform
KNIME Server
Load > Integrate > Transform > Analyze > Visualize
KNIME
Extensions
Community
Extensions
Partner
Extensions
Collaborate Automate Manage Deploy

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KNIME Server
Management
Deployment
Configuration &
Versioning
RESTful Services
Client & User
PreferencesSecurity
Guided Analytic AppsWeb Front-ends
Collaboration
Workflow Hub Workflows
Shared Repository, Versioning
Metanodes, Nodes Data
Automation
Distributed Executors
Remote, Client ControlProvisioning

7. © 2019 KNIME AG. All rights reserved. 7
KNIME Server
Live Demo

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Guided Analytics for ML/AI Automation
• Interaction & Automation
• Data Scientist’s Choice: right mix for target audience

9. 20© 2019 KNIME AG. All rights reserved.

10. 21© 2019 KNIME AG. All rights reserved.

11. 22© 2019 KNIME AG. All rights reserved.

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KNIME Server REST API
• Enables external integration
• Build applications around KNIME Server
• e.g. for Microservices and real time scoring
Output in
server responseInput data
Deploy KNIME workflows
as web services

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KNIME Server REST API: Job Pool
KNIME Workflow for e.g. sentiment prediction, churn score, chemical property
Pre-loaded jobs
pooled and waiting
for work
Workflow
immediately
executed
External
REST call
No “load latency”
for client
Results
Take from pool
Pooled jobsKNIME
Executor
KNIME SERVER

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Managing Preferences – local
KNIME
Analytics
Platform
KNIME
Analytics
Platform
KNIME
Analytics
Platform
How do I
install
database
drivers?
How do I
configure
Python?
KNIME Website
Internal knowledgebase

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Managing Preferences – KNIME Server
Marketing R&DFinance
Linux and macOS
Python
R
Windows 7
Oracle
MS Access
Windows 10
Hive
Spark
• Different
departments/teams
have different
requirements
• Multiple OS
deployments
• Windows 7
• Windows 10
• Linux
• macOS

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Managing Preferences – KNIME Server
KNIME Server
Profiles can include:
Preferences, drivers, and more
• Client-profiles
• Python-Linux
• Python-macOS
• R-Linux
• R-macOS
• Databases-Win7
• Big Data-Win10
client-profiles
Big Data-
Win10
Databases-
Win7
Python-
macOS (etc)
Marketing Finance R&D

17. © 2019 KNIME AG. All rights reserved. 34
Client Customization Profiles

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KNIME Server – Admin made easy

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Distributed Executors
• Need more workflow horsepower?
• KNIME Server currently supports ‘Scale Up’
• KNIME Server Distributed Executors allows ‘Scale Out’
https://upload.wikimedia.org/wikipedia/commons/thumb/8/8b/Server.svg/2000px-Server.svg.png
https://upload.wikimedia.org/wikipedia/commons/5/53/Server-multiple.svg

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Distributed Executors
KNIME Server
Executor 1
Executor 2
Executor 3
RabbitMQ
KNIME Server + Distributed Executors
Requests to
execute
workflows

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Distributed Executors
KNIME Server
Executor 1
RabbitMQ
KNIME Server + Distributed Executors
Request to
execute
workflow
Scripted launch on AWS CloudFormation

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Distributed Executors
KNIME Server
Executor 1
Executor 2
RabbitMQ
KNIME Server + Distributed Executors
More
requests to
execute
workflows
Launching
CPU load increases
AWS Auto-scaling Group

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Distributed Executors
KNIME Server
Executor 1
Executor 2
RabbitMQ
KNIME Server + Distributed Executors
Requests to
execute
workflows
AWS Auto-scaling Group

24. © 2019 KNIME AG. All rights reserved. 41
KNIME Software – On premise and in the cloud
KNIME
Analytics
Platform
KNIME Server
KNIME
Analytics
Platform
KNIME Server
KNIME
Analytics
Platform
KNIME Server

25. © 2019 KNIME AG. All rights reserved. 42
KNIME Server
Management
Deployment
Configuration &
Versioning
RESTful Services
Client & User
PreferencesSecurity
Guided Analytic AppsWeb Front-ends
Collaboration
Workflow Hub Workflows
Shared Repository, Versioning
Metanodes, Nodes Data
Automation
Distributed Executors
Remote, Client ControlProvisioning
Ready to get started
with KNIME Server?
Contact us for a free
trial:
contact@knime.com

26. © 2019 KNIME AG. All rights reserved. 43
KNIME Spring Summit 2019
March 18 – 22 at bcc Berlin Congress Center, Berlin
• Monday & Tuesday: One-day courses
• Wednesday & Thursday: Summit sessions
• Friday: Workshops
Use the code
WEBINAR-20
for 20% off tickets!
Register at
knime.com/spring-summit2019

27. 44© 2019 KNIME AG. All rights reserved.
The KNIME® trademark and logo and OPEN FOR INNOVATION® trademark are used by
KNIME AG under license from KNIME GmbH, and are registered in the United States.
KNIME® is also registered in Germany.