This presentation gives a short introduction to KNIME and what's new in KNIME Analytics Platform and KNIME Server.

1. © 2019 KNIME AG. All Rights Reserved.
KNIME Meetup:
Anomaly Detection for IoT and Fraud
Open Source Story & What’s New
Thomas Gabriel

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Agenda
• 18:15 Welcome and Introductions
Stefan Weingaertner (DATATRONiQ)
• 18:35 wexelerate
The ultimate Ecosystem for Startups & Innovation
• 18:50 Open Source Story and What’s New
Thomas Gabriel (KNIME)
• 19:20 Anomaly Detection in the Operation of a Solar Thermal System
Max Blöchle (Austrian Institute of Technology)
• 19:50 Discover unknown Frauds and Anomalies using Machine Learning
Kathrin Melcher (KNIME)
• 20:20 Signal Processing and Machine Learning Techniques for IIoT
Applications
Stefan Weingaertner (DATATRONiQ).
~20:50 Open Networking Session

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Analysis & Mining
Statistics, Machine Learning, Data
Mining, Web Analytics, Text
Mining, Network Analysis, Social
Media Analysis, R, Weka, Python,
Community / 3rd party, ...
Data Access
MySQL, Oracle, ...
SAS, SPSS, ...
Excel, Flat, ...
Hive, Impala, ...
XML, JSON, PMML
Text, Doc, Image, ...
Web Crawlers,
Industry Specific,
Community / 3rd
party ...
Transformation
Row, Column, Matrix
Text, Image, Networks, Time
Series, Java, Python,
Community / 3rd party, ...
Visualization
R, Python,
JFreeChart,
JavaScript,
Community / 3rd party, ...
Deployment
via BIRT
PMML, XML, JSON
Databases, Excel, Flat, etc.
Text, Doc, Image
Industry Specific
Community / 3rd party, ...
Over 2000 native and embedded nodes included
Big Data
Hive, Impala, HDFS Vertica,
Teradata/Aster, Spark, MLlib,
Community / 3rd party, ...

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KNIME Analytics Platform: An Open Approach
KNIME Analytics Platform
Business Analyst
External
and Legacy
Tools
Native
Data Access, Analysis,
Visualization, and Reporting
External
Data
Connectors
Distributed / Cloud Execution
Data Scientist

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Creating Data Science with KNIME Analytics Platform
Partner
Extensions
KNIME
Analytics Platform
Community
Extensions
KNIME
Extensions
KNIME
Integrations
Data Blending
Data Analytics
Predictive Analytics
Machine Learning
Artificial Intelligence
Data
Science
Load à Transform à Analyze à Visualize
OpenSource

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KNIME Server
Productionizing Data Science with KNIME Server
DeployManageAutomateCollaborate
Marketing and Sales
Business
Apps
Financial
Product R&D
Manufacturing
IT
Collaborate in teams
Automate worklow execution
Deploy applications and
services
Manage and monitor

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Operationalizing Data Science for Teams
Data Blending
Data Analytics
Predictive Analytics
Machine Learning
Artificial Intelligence
Data
Science
Source: CRISP-DM, Cross-Industry Standard Process for Data Mining
Data Science Teams Business Teams
Marketing and Sales
Business
Apps
Financial
Product R&D
Manufacturing
IT

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New Database Integration
• Improved schema handling
• Flexible type handling
• Rich SQL editor

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Framework Improvements
• Driver management
• Parallel execution
• Streaming execution

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KNIME Extension for Apache Spark
• Read, Process and analyse data
in Apache Spark
• Data stays in cluster, KNIME nodes
manage Spark jobs

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Apache Livy Support
• Gives out-of-the-box Spark
compatibility with:
– Hortonworks HDP
– Amazon EMR
– Microsoft Azure HDInsight
• Cloudera packaging provided
by KNIME
• Revised node dialog

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PySpark Script Nodes

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H2O Sparkling Water Integration

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KNIME Deep Learning – Executing

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KNIME Deep Learning – Building Networks

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Column Expressions
• Swiss army knife for deriving
new columns
• Complete type support
• Multiple expressions

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Extensions: Tableau
• Supporting Hyper
• Write Extracts and push them to
Tableau Server
• New capabilities
– Appending files
– Date & Time
Support

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Extensions: XGBoost
• Popular open-source library for
optimized distributed
gradient boosting
• Often used in machine
learning competitions

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Jupyter Extension calling KNIME

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Workflow Automation – “Call Workflow”
• Call out to other
workflows
– Locally (same KNIME
instance)
– On KNIME Server
• Orchestrate set of
workflows

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Guided Analytics: Interactive Data Science
Interaction Points

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Inside an Interaction Point

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What’s Cooking
Check out nightly builds:
https://www.knime.com/form/nightly-build

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The KNIME® trademark and logo and OPEN FOR INNOVATION® trademark are used by
KNIME.com AG under license from KNIME GmbH, and are registered in the United States.
KNIME® is also registered in Germany.