More Related Content Similar to What's New in KNIME Analytics Platform 4.1 (20) More from KNIMESlides (9) What's New in KNIME Analytics Platform 4.11. © 2020 KNIME AG. All rights reserved.
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 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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KNIME AP UI Changes – I
Additional Space to the
right and bottom to place
new nodes
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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
12. © 2020 KNIME AG. All rights reserved. 12
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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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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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: 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