All the information about the latest features in KNIME Analytics Platform 4.0 and KNIME Server 4.9. What we cover: - New features of the KNIME Hub (hub.knime.com) - What components are and how you can use these to bundle functionality for sharing and reusing - Performance improvements - New database integration - New machine learning functionality - New Plotly Integration (which brings all kinds of exciting interactive visualizations) - New Spark nodes - KNIME Server Remote Workflow Editor - Scheduling improvements - KNIME Server Distributed Executors Webinar link: https://youtu.be/slOIiQzT_7E What's New Document here: https://www.knime.com/whats-new-in-knime-40

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What’s new in KNIME
KNIME Analytics Platform 4.0
KNIME Server 4.9

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KNIME Analytics Platform 4.0 and
KNIME Server 4.9
What’s new?

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What is new?
• Performance
• The KNIME Hub
• KNIME Components
• New nodes and methods
• KNIME Server improvements

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Performance of KNIME Workflow Execution
Workflow Execution Time significantly reduced

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KNIME’s Welcome Page(s)

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The Duplicate Row Filter
Find duplicates and process them
Based on KNIME Community wishlist

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Workflow Documentation
Document your workflow
with this new view
Access it by selecting a
workflow!

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The KNIME Hub

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Searching Nodes and Workflows
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Opening a Workflow from the Hub
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Saving the Workflow
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Edit the Workflow
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Drop

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Sharing the Workflow
1. Save your Edits
2. Connect to the Hub

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Log in the Hub
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KNIME Forum
Account Credentials

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Publish your Workflow
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2. Drag & Drop
1. Edit the
Metadata

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Open your Workflow in the Hub
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Open your Workflow in the Hub

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Components
Formerly known as “Wrapped Metanode”
• Components can be used
to simulate real nodes
• Sharing Expertise and Best-
Practices
• Simplify connection setups

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New “Quickforms”
Split between configuration and widgets

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How is a KNIME node used?
• How is a KNIME node used?
Configuration – Execution – Visualization

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Share your knowledge as a component!

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Reusable Components on KNIME Hub
• Components can be
used similar to real
nodes
• Including
configuration, error
messages and
documentation

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KNIME DB Integration
Full rewrite of database nodes
• Usability
• Performance
• Clear connection handling

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KNIME DB Migration

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New DB Nodes
• https://docs.knime.com/2019-
06/db_extension_guide/index.html

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KNIME Plotly Integration
• (KNIME Labs) Plotly: An integration with the well
known open-source visualization library

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Amazon Comprehend & Translate
Integration with AWS for
text mining tasks

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KNIME Machine Learning
ONNX Integration via TensorFlowH2O Isolation Forest for Anomaly Detection

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KNIME Machine Learning Automation

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KNIME Machine Learning Interpretability
Partial Dependence and ICE PlotLocal Model Explanations

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New Nodes – T-SNE

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KNIME Server: Web Services – Container In/Out (Row)
• Define a generic web service via simple I/O nodes
based on a set of ‘fields’ (row, parameters)
• Rich type validation and conversion
{
"temperature" : 38,
"heart beat" : 62,
"past condition" : "ok"
}

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Simplified Kerberos Support
User authentication
against Kerberos or
Active Directory
Mostly used Big Data &
Database Nodes

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KNIME Big Data Integration – Spark ML
• Revised Spark model
learner nodes based on
current spark.ml APIs
• Revised nodes can handle
categorical columns
• Spark Predictor
(Classification) node
provides conditional class
probabilities

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KNIME Server 4.9
KNIME Server
DeployManageAutomateCollaborate
Collaborate in teams
Automate worklow execution
Deploy applications and
services
Manage and monitor

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KNIME Server – Remote Workflow Editor
• Monitor progress of execution on server (almost) live
• Very helpful for longer-running jobs
What‘s my workflow
doing right now?

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KNIME Server – Remote Workflow Editor
• Change node
configurations directly
in the remote job
– Resume execution if
there was an error
– Try different
configuration options
without re-executing the
full job

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KNIME Server – Scheduling improvements
• Repeat at fixed start times
• Run jobs only within specific
time-windows (e.g. office
hours)

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KNIME Server – Notification improvements
• Improved email notification
dialog.
• Send emails only when a
workflow completes
successfully
• Or when there is a problem
• Save reports to the KNIME
Server with ‘Report action’

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KNIME Server – “Workflow Pinning”
Distributed
Executors

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Permissions for individual users
• As well as defining
permissions for groups
you can define
permissions for
individual users.

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KNIME Server – Cloud Offerings
• Update instances to latest version planned shortly
after release
• KNIME Server Large on AWS (incl. auto-scaling)
• KNIME Server Small (+free trial) available on Azure
• New documentation for AWS and Azure
deployments (see Server tab under:
https://docs.knime.com/)

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Documentation Available online
• https://docs.knime.com/

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Give it a try
Update to KNIME 4.0!
• Enjoy the performance improvements
• Connect to the KNIME Hub and upload
your own workflows
• Share your expertise using a component
• Try out the brand new Data Science tools
Any questions?
– And always via the KNIME Forum! (forum.knime.com)

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KNIME® is also registered in Germany.