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© 2018 KNIME AG. All rights reserved.
Overview of KNIME Software
Cynthia Padilla
KNIME
© 2018 KNIME AG. All rights reserved. 2
Agenda
• KNIME Software Introduction
• Overview of KNIME Analytics Platform
• Why do I need KNIME Server?
• How do I get started?
• Q&A
3© 2018 KNIME AG. All rights reserved.
KNIME Software Introduction
© 2018 KNIME AG. All rights reserved. 4
KNIME Software Overview
5© 2018 KNIME AG. All rights reserved.
KNIME Analytics Platform
© 2018 KNIME AG. All rights reserved. 6
What is KNIME Analytics Platform?
• A tool for data analysis, manipulation, visualization, and reporting
• Based on the graphical programming paradigm
• Provides a diverse array of extensions:
• Text Mining
• Network Mining
• Cheminformatics
• Big Data
• Many integrations,
such as Java, R, Python,
Weka, H2O, etc.
© 2018 KNIME AG. All rights reserved. 7
Visual KNIME Workflows
Nodes perform tasks on data
Workflows combine nodes
to model data flow
Status
Input(s)
Outputs
Not Configured
Idle
Executed
Error
© 2018 KNIME AG. All rights reserved. 8
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, ...
© 2018 KNIME AG. All rights reserved. 9
Analyze & Data Mining
• Regression
• Linear, logistic, time series analysis
• Classification
• Decision tree, ensembles, SVM,
MLP, Naïve Bayes, random forest,
neural networks, model
optimization
• Clustering
• k-means, DBSCAN, hierarchical
• Validation
• Cross-validation, scoring, ROC
• Misc
• PCA, MDS, item set mining
• External
• R, Python, H20, Weka
• Deep Learning
© 2018 KNIME AG. All rights reserved. 10
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, ...
11© 2018 KNIME AG. All rights reserved.
Integration
© 2018 KNIME AG. All rights reserved. 12
Python Integration
12
• Run Python inside KNIME
• Works with existing installations
• UI modeled after R integration
© 2018 KNIME AG. All rights reserved. 13
Python Scripting UI
13
© 2018 KNIME AG. All rights reserved. 14
R Integration
14
• Run R inside KNIME.
• Works with existing R installations.
• Nodes for many tasks, but all with
similiar interfaces.
© 2018 KNIME AG. All rights reserved. 15
R Integration UI
15
Syntax Highlighting
Select R
workspace
Create and
store
templates
Evaluate
script
Show
Results
R error
messages
© 2018 KNIME AG. All rights reserved. 16
H20 Integration
16
• H20 - Machine Learning and
Analytics library
• KNIME – H20 integration provides
nodes for machine learning and
scoring.
© 2018 KNIME AG. All rights reserved. 17
Java Script Integration
17
• Run Java Script inside KNIME.
• Nodes for many tasks, but all with
similiar interfaces.
• Visualization - create inteactive
Views
18© 2018 KNIME AG. All rights reserved.
Big Data
© 2018 KNIME AG. All rights reserved. 19
KNIME Big Data Connectors
• Preconfigured connectors
– Hive
– Cloudera Impala
• Extends the open source database integration
© 2018 KNIME AG. All rights reserved. 20
Native MLlib model
KNIME Extension for Apache Spark
• Advanced Analytics on Hadoop
• Based on Spark MLlib
• Native MLlib model learning and prediction
• Spark nodes start and manage Spark jobs
© 2018 KNIME AG. All rights reserved. 21
Machine Learning for Apache Spark
21
© 2018 KNIME AG. All rights reserved. 22
Test Big Data Nodes – Create Local Big Data Environment
© 2018 KNIME AG. All rights reserved. 23
Getting Started: KNIME EXAMPLES
• Public repository with large
selection of example workflows for
many, many applications
• Right- click and log in in KNIME
Explorer
23
24© 2018 KNIME AG. All rights reserved.
Demo
25© 2018 KNIME AG. All rights reserved.
Why do I need KNIME Server?
© 2018 KNIME AG. All rights reserved. 26
KNIME Server Provides
• Collaboration
• Deployment
• Access Rights
• Scheduling
• REST API
• Guided Analytics
© 2018 KNIME AG. All rights reserved. 27
Server features: Secure workflows and Data files
• Share workflows
• Directory- and workflow-level permissions possible,
including LDAP groups
© 2018 KNIME AG. All rights reserved. 28
Server features: Shared metanodes
• Metanodes can be stored on the server and used in
workflows as links
© 2018 KNIME AG. All rights reserved. 29
Server features: Remote and scheduled execution
© 2018 KNIME AG. All rights reserved. 30
Server features: Workflow diff
• Versions can be compared to each other:
© 2018 KNIME AG. All rights reserved. 31
Server features: Web services
• Deploy workflows as REST-based web services:
© 2018 KNIME AG. All rights reserved. 32
KNIME Server features: Web portal
• Allows workflows to be
used as web applications
© 2018 KNIME AG. All rights reserved. 33
KNIME Server features: User management
• User Authentication – DB based authentication
– Recommended for small groups whit no LDAP access
– The WebPortal can be used to add/remove users
• User Authentication – LDAP authentication
– LDAP integration
– Support for Kerberos and LDAP for SSO
• Make tasks like user administration easier
© 2018 KNIME AG. All rights reserved. 34
KNIME Software in the Cloud
• Get started quickly
• Get closer to your data
• Connectors for AWS S3 &
Azure Blob Store
• Scale to fit your workloads
© 2018 KNIME AG. All rights reserved. 35
KNIME Server Summary
https://www.knime.com/knime-server#knime-server-editions
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
Marketing and Sales
Decisions
Financial Decisions
Manufacturing
Decisions
IT Decisions
Product R&D
Decisions
Guided Analytics
for Everybody
36© 2018 KNIME AG. All rights reserved.
How do I get started?
© 2018 KNIME AG. All rights reserved. 37
KNIME Analytics Platform: Try it Now!
• Download from
www.knime.com
• Become active on our Forum!
https://forum.knime.com/
• E-learning Course
https://www.knime.com/knime-introductory-course
© 2018 KNIME AG. All rights reserved. 38
KNIME Analytics Platform: Try it Now!
Download at knime.com/downloads
Check out knime.com/knimepress
Book code:
KNIME-WEBINAR-0718
39© 2018 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.

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KNIME Software Overview

  • 1. © 2018 KNIME AG. All rights reserved. Overview of KNIME Software Cynthia Padilla KNIME
  • 2. © 2018 KNIME AG. All rights reserved. 2 Agenda • KNIME Software Introduction • Overview of KNIME Analytics Platform • Why do I need KNIME Server? • How do I get started? • Q&A
  • 3. 3© 2018 KNIME AG. All rights reserved. KNIME Software Introduction
  • 4. © 2018 KNIME AG. All rights reserved. 4 KNIME Software Overview
  • 5. 5© 2018 KNIME AG. All rights reserved. KNIME Analytics Platform
  • 6. © 2018 KNIME AG. All rights reserved. 6 What is KNIME Analytics Platform? • A tool for data analysis, manipulation, visualization, and reporting • Based on the graphical programming paradigm • Provides a diverse array of extensions: • Text Mining • Network Mining • Cheminformatics • Big Data • Many integrations, such as Java, R, Python, Weka, H2O, etc.
  • 7. © 2018 KNIME AG. All rights reserved. 7 Visual KNIME Workflows Nodes perform tasks on data Workflows combine nodes to model data flow Status Input(s) Outputs Not Configured Idle Executed Error
  • 8. © 2018 KNIME AG. All rights reserved. 8 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, ...
  • 9. © 2018 KNIME AG. All rights reserved. 9 Analyze & Data Mining • Regression • Linear, logistic, time series analysis • Classification • Decision tree, ensembles, SVM, MLP, Naïve Bayes, random forest, neural networks, model optimization • Clustering • k-means, DBSCAN, hierarchical • Validation • Cross-validation, scoring, ROC • Misc • PCA, MDS, item set mining • External • R, Python, H20, Weka • Deep Learning
  • 10. © 2018 KNIME AG. All rights reserved. 10 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, ...
  • 11. 11© 2018 KNIME AG. All rights reserved. Integration
  • 12. © 2018 KNIME AG. All rights reserved. 12 Python Integration 12 • Run Python inside KNIME • Works with existing installations • UI modeled after R integration
  • 13. © 2018 KNIME AG. All rights reserved. 13 Python Scripting UI 13
  • 14. © 2018 KNIME AG. All rights reserved. 14 R Integration 14 • Run R inside KNIME. • Works with existing R installations. • Nodes for many tasks, but all with similiar interfaces.
  • 15. © 2018 KNIME AG. All rights reserved. 15 R Integration UI 15 Syntax Highlighting Select R workspace Create and store templates Evaluate script Show Results R error messages
  • 16. © 2018 KNIME AG. All rights reserved. 16 H20 Integration 16 • H20 - Machine Learning and Analytics library • KNIME – H20 integration provides nodes for machine learning and scoring.
  • 17. © 2018 KNIME AG. All rights reserved. 17 Java Script Integration 17 • Run Java Script inside KNIME. • Nodes for many tasks, but all with similiar interfaces. • Visualization - create inteactive Views
  • 18. 18© 2018 KNIME AG. All rights reserved. Big Data
  • 19. © 2018 KNIME AG. All rights reserved. 19 KNIME Big Data Connectors • Preconfigured connectors – Hive – Cloudera Impala • Extends the open source database integration
  • 20. © 2018 KNIME AG. All rights reserved. 20 Native MLlib model KNIME Extension for Apache Spark • Advanced Analytics on Hadoop • Based on Spark MLlib • Native MLlib model learning and prediction • Spark nodes start and manage Spark jobs
  • 21. © 2018 KNIME AG. All rights reserved. 21 Machine Learning for Apache Spark 21
  • 22. © 2018 KNIME AG. All rights reserved. 22 Test Big Data Nodes – Create Local Big Data Environment
  • 23. © 2018 KNIME AG. All rights reserved. 23 Getting Started: KNIME EXAMPLES • Public repository with large selection of example workflows for many, many applications • Right- click and log in in KNIME Explorer 23
  • 24. 24© 2018 KNIME AG. All rights reserved. Demo
  • 25. 25© 2018 KNIME AG. All rights reserved. Why do I need KNIME Server?
  • 26. © 2018 KNIME AG. All rights reserved. 26 KNIME Server Provides • Collaboration • Deployment • Access Rights • Scheduling • REST API • Guided Analytics
  • 27. © 2018 KNIME AG. All rights reserved. 27 Server features: Secure workflows and Data files • Share workflows • Directory- and workflow-level permissions possible, including LDAP groups
  • 28. © 2018 KNIME AG. All rights reserved. 28 Server features: Shared metanodes • Metanodes can be stored on the server and used in workflows as links
  • 29. © 2018 KNIME AG. All rights reserved. 29 Server features: Remote and scheduled execution
  • 30. © 2018 KNIME AG. All rights reserved. 30 Server features: Workflow diff • Versions can be compared to each other:
  • 31. © 2018 KNIME AG. All rights reserved. 31 Server features: Web services • Deploy workflows as REST-based web services:
  • 32. © 2018 KNIME AG. All rights reserved. 32 KNIME Server features: Web portal • Allows workflows to be used as web applications
  • 33. © 2018 KNIME AG. All rights reserved. 33 KNIME Server features: User management • User Authentication – DB based authentication – Recommended for small groups whit no LDAP access – The WebPortal can be used to add/remove users • User Authentication – LDAP authentication – LDAP integration – Support for Kerberos and LDAP for SSO • Make tasks like user administration easier
  • 34. © 2018 KNIME AG. All rights reserved. 34 KNIME Software in the Cloud • Get started quickly • Get closer to your data • Connectors for AWS S3 & Azure Blob Store • Scale to fit your workloads
  • 35. © 2018 KNIME AG. All rights reserved. 35 KNIME Server Summary https://www.knime.com/knime-server#knime-server-editions 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 Marketing and Sales Decisions Financial Decisions Manufacturing Decisions IT Decisions Product R&D Decisions Guided Analytics for Everybody
  • 36. 36© 2018 KNIME AG. All rights reserved. How do I get started?
  • 37. © 2018 KNIME AG. All rights reserved. 37 KNIME Analytics Platform: Try it Now! • Download from www.knime.com • Become active on our Forum! https://forum.knime.com/ • E-learning Course https://www.knime.com/knime-introductory-course
  • 38. © 2018 KNIME AG. All rights reserved. 38 KNIME Analytics Platform: Try it Now! Download at knime.com/downloads Check out knime.com/knimepress Book code: KNIME-WEBINAR-0718
  • 39. 39© 2018 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.