Slides from our recent webinar highlighting the newest features in KNIME Analytics Platform 4.1 and KNIME Server 4.10 It covers all the new features like Guided Labeling and all the new nodes such as the Binary Classification Inspector node, and WebRetriever node. It covers public and private spaces on the KNIME Hub and how the Hub can help you build your workflows more quickly and easily by giving you access to components. It also covers the additional cloud connectivity as well as the new Create Databricks Environment node for connecting to your Databricks cluster running on Microsoft Azure or Amazon AWS. On the KNIME Server side, we highlight how the server now supports the open standard for authorization - OAuth identification as well as how you can more easily configure workflows that are already running on KNIME Server. View the webinar here: https://www.youtube.com/watch?v=VzNqE4WklEk Read here for more details on this release: https://www.knime.com/whats-new-in-knime-41

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KNIME 4.1 – What’s New!
Scott Fincher – Data Scientist
Cynthia Padilla – Customer Care

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Highlights
• Enhanced usage of Components
• Support for Guided Labeling, more ML nodes
• Updates to file handling
• More Integrations (PowerBI, Databricks, …)
• KNIME Server: Enrich workflow invocation & add
more enterprise features

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KNIME Hub

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KNIME Hub Improvements
• Public AND Private Spaces
– Easily share workflows
– Cloud storage for private workflows you
can access anywhere

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KNIME Hub Improvements
• Components
– In addition to workflows, now upload
components to your public space for sharing
– Drag-and-drop from Hub directly to your
workflow
– (Like this…)

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KNIME Hub Improvements

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Usability

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KNIME AP UI Changes – I
Additional Space to the
right and bottom to place
new nodes

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Searching

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Components
• Custom appearance (coloring and icon)
• In-place editing of shared components
• Improved data validation and better error handling

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Components
• Custom appearance (coloring and icon)
• In-place editing of shared components
• Improved data validation and better error handling

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Components
• Custom appearance (coloring and icon)
• In-place editing of shared components
• Improved data validation and better error handling
Double click to edit…

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Components
• Custom appearance (coloring and icon)
• In-place editing of shared components
• Improved data validation and better error handling

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Framework Changes: Dynamic Ports
• Manually add ports to
selected nodes
• One application:
Remote Connection Input
for Reader/Writer Nodes

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Utility Nodes: Row Filter (Labs)
• Build simple selection criteria ...
• Or complex selection criteria using a tree
• In the future, this
will be KNIME’s
default row filter

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Top k Selector
• Used to be the Element Selector from Active Learning
Extension…
• Now rewritten and improved for core KNIME
• Select the k biggest or smallest rows.
Live Demo

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Analytics

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Guided Labeling – Nodes for Active Learning (Labs)
• Various Nodes to define density distribution and
selectively label interesting data points
• Used in loop – true power in web portal
• Workflows on KNIME Hub!

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Guided Labeling – Weak Supervision (Labs)
• Combine ‘weak supervisors’ to one probabilistic label – then
learn using modified learner (GBT or Logistic Regression)

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Silhouette Coefficient Node
• Calculates Silhouette Coefficients
– for each row (first output port)
– for each cluster, and overall (second output port)
• Optionally provide distances as input

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Amazon Web Services: Personalization Nodes
• Integration with Amazon Personalize (8 new nodes)
• Recommendation System (think of “shopping cart“)
• Build ‘solution’
• Deploy ‘campaign’

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Binary Classification Inspector
Live
Demo

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Integrations

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Cloud & Big Data Connectivity: Databricks
• Create Databricks Environment: connect to your
Databricks cluster on Azure or AWS
• Databricks Delta, Databricks File System, or Apache
Spark

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Cloud & Big Data Connectivity: Google
• Connectivity to
– Google Cloud Storage
– Google Big Query (via DB Nodes)
– Google Cloud Dataproc

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New DB Connectors and Utility Nodes
• Vertica
• Amazon Athena
• Several utility nodes – importantly, DB Transaction
Start/End

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Send to PowerBI
• Send Files to Microsoft PowerBI, supports native
types incl date & time
• Authentication via OAuth

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MDF Reader
• Measurement Data Format
(popular in automotive industry)
• Uses Python in
the background

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Framework Changes: Enhanced Variable Support
• More types for flow variables, including Boolean,
Long, and arrays!

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KNIME now supports Apache Knox
• An application gateway for interacting securely with
REST APIs and UIs of Apache Hadoop interfaces
• Work with HDFS, Hive and Spark behind an Apache
Knox Gateway
• More info: https://knox.apache.org/

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File Handling
• Framework + a bunch of nodes to:
– easier and write “knime://” files
– Bulk read many files at once

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Utility Nodes: Webpage Retriever
• Read HTML Content from the web as “html string”
or xml’ified
• Based on REST Client nodes (e.g. support for
headers, cookies, advanced authentication, parallel
querying etc)
Live Demo

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KNIME Server

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KNIME Server: Managed Customizations
• Set multiple update sites
– Host update sites on your own network
– Avoid dealing with proxy restrictions
• Deactivate default update sites
• Bottom line: more control over extension access and
installation for your users

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KNIME Server: Schedule Parameterization
• Parameterize Scheduled
Workflows using
“Configuration” nodes

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KNIME Server: Call Workflow Action
• Define workflow actions upon completion

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KNIME Server: Advanced Authentication
• KNIME Server supporting Single Sign-On (SSO) based
on OAuth/OpenID Connect
• Both via Webportal
and KNIME AP Client

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Time to update!
• Try out all the new features
– Please give us feedback!
• No worries, all your old workflows will still work, just
as before

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KNIME Books
WEBINAR-0220

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KNIME Spring Summit 2020
WEBINAR-0220
knime.com/summit

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Join KNIME!
• knime.com/careers
• maria.khomych@knime.com
• knime@jobs.workablemail.com