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Bringing Data Manipulation from KNIME into TIBCO Spotfire April 8th, 2020 Lionel Colliandre, Maxime Guitet Extended KNIME Spring Summit

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Bringing Data Manipulation from KNIME into TIBCO Spotfire

April 8th, 2020Lionel Colliandre, Maxime Guitet

Extended KNIME Spring Summit

About DiscngineSoftware for Life Sciences Research Informatics

▪ Combine & integrate key research IT componentsto provide Scientific IT solutions

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Customers: Sanofi, l’Oréal, Galderma, AstraZeneca, AbbVie, Merck & Co.,

GSK, Novartis, Roche, Pierre Fabre, Eurofins, Ipsen, Servier, Biogen,

DuPont-FMC, Bayer, Syngenta, Galapagos…

Founded in 2004 - Based in Paris, France - 48 employees

More Information: www.discngine.comKNIME Partner

Agenda

1. Introduction

2. Discngine Connector▪ KNIME Data functions

▪ Client Automation SDK

▪ Mashup with the KNIME webportal

▪ S.W.A.K

▪ Automation Tasks

3. Conclusions

3

INTRODUCTIONObjectives

01

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TIBCO Spotfire

Visual analytics solution▪ Optimized for visualization

> Millions of records

▪ Interactive dashboards

▪ Real time analysis

Desktop and Web Player

For non-developers

5

Objective

Data Manipulation in KNIME, visualization in TIBCO Spotfire

TIBCO Spotfire KNIME

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Objective

Visual analytics + Data handling

Bidirectional

Any Spotfire ClientAnalyst, Consumer, Business Author, Automation

Any Data originChemistry, Biology, Finance, Insurance, Informatics, ...

Data: Binary objects, molecules, images, sequences…

API: Events, Visualizations, Job Control…

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1 2

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Target Audience

Citizen DeveloperData Functions

Automation Services

Experienced DeveloperJavaScript SDK

IronPythonWeb Development 8

DISCNGINE CONNECTORComponents in the Connector suite

02

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Server-side Spotfire authoring

KNIME Automation Tasks

Scheduled or on-demand

Document “cooking”

Bi-directional data exchange

KNIME Data Functions

Dynamic Spotfire authoring

Client Automation SDKMashup WebPortal / Spotfire

S.W.A.K.

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Mashup Applications, Apps integration &

GuidesData flows integration

KNIME Data Functions

Objective▪ Easy to use bi-directional data integration

between a Spotfire document and KNIME workflows

What are TIBCO Spotfire Data Functions?A way to integrate external software for data retrieval and processingUsed by TIBCO to integrate with R, SAS, Matlab, S+Can be extended with the public APIUse standardized integration mechanisms and interfacessupported by TIBCO

1111

KNIME Data Functions

Use cases▪ Retrieve data from the execution of a workflow without developing an

interface

▪ Send multiple Spotfire records to KNIME for processing> E.g. an entire data table, marked rows, selected columns...

▪ Interact with KNIME workflows based on events> Forms in text areas, changed document property, changed marked records

> Write back to a database/filesystem

▪ Deliver custom data tables to Web Player users

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KNIME Data Functions

A Spotfire extension based on the Data Function API▪ Data only integration

> SBDF in/out

> Parameters in/out

> Works with images, structures, sequences…

▪ Runs in all clients> Analyst

> Web Player Consumer

> Web Player Business Author

> Automation

▪ No programming skills required!

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Data Functions: KNIME workflows

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KNIME Data Functions

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Process

Client Automation SDK

Objective▪ Allow developers to programmatically interact with the

Spotfire API through JavaScript in both Analyst and Web Player clients

▪ Leverage modern JavaScript Libraries (Angular, React, D3.js, Vue.js…)

▪ Works with KNIME and any other web capable technology (J2EE, Node.js, Python, php, Apex…)

▪ Used to build advanced mashup applications> Web application + Spotfire documents

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spotfireDocument

.addDataTable(sbdfFileURL)

.addPage("Comparison Of Mean Ranges")

.addScatterPlot(jsonConfig);

Client Automation SDK

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Client Automation SDK

spotfireDocument

.addDataTable(sbdfFileURL)

.addPage("Comparison Of Mean Ranges")

.addScatterPlot(jsonConfig);

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Mashup KNIME WebPortal + TIBCO Spotfire: KNIME workflows

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Mashup KNIME WebPortal + TIBCO Spotfire

View the demo at https://www.youtube.com/watch?v=j3i_AjW4OHY

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S.W.A.K.

Spotfire Web Application for KNIME▪ A low-code framework to streamline KNIME

workflow integration

▪ Based on Client Automation SDK

▪ Low code> Declare the KNIME workflows

> Map the parameters to a web form (Wizard)

> Define actions on the Spotfire document based on protocol output files

▪ Developed with React.js

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S.W.A.K.: Software Architecture

Spotfire Web Application for KNIME Server

Discngine Client Automation Extension

Spotfire Web Player

HTML+JS

React.js

KNIME Server

Web (http) Data (http)

Discngine Client Automation SDK

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S.W.A.K.: KNIME workflows

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S.W.A.K.: Demo

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View the demo at https://www.youtube.com/watch?v=_HGlUMItuEM

KNIME Automation Tasks

Objective▪ Generate a Spotfire Document server-side

from the execution of a KNIME workflow

Server-side Spotfire authoring

KNIME Automation Tasks

KNIME Automation Tasks

Use case▪ Spotfire Document generated server-side with dynamic content

On Schedule/ Event KNIME Workflow with

Automation Tasks nodesNew Document prepared and stored in

the Spotfire Library

User Notification

KNIME Automation Tasks

Automation Custom Tasks

▪ KNIME Login> Allow execution of a KNIME Data Function

▪ IronPython Executor> Do anything you want…

KNIME Components

▪ Spotfire Automation Tasks Writers> Open & Save DXP, add pages, add charts,

run script...

▪ Spotfire Automation Script Runner> Execute the Automation task from

a KNIME workflow> Uses Spotfire WebService Rest API

Server-side Spotfire authoringBi-directional data exchange

KNIME Data Functions & Calculated Columns

KNIME Automation Tasks

Dynamic Spotfire authoring

Client Automation SDK and S.W.A.K.

Mashup Applications, Apps integration &

GuidesData flows integration

Scheduled or on-demand

Document “cooking”

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CONCLUSIONS

+33 1 80 48 66 70

[email protected]

Discngine, 79 avenue Ledru-Rollin, 75012 Paris – France

www.discngine.com

Become an early adopter [email protected]

[email protected]

Extended KNIME Spring Summit