Sharing and Deploying Data Science with KNIME Server

April 16, 2020 - Online

You’re currently using the open source KNIME Analytics Platform but want to work across teams and business units? KNIME Server is the enterprise software for team-based collaboration, automation, management, and deployment of data science workflows. Non-experts are given access to data science via KNIME Server and WebPortal, or can use REST APIs to integrate workflows as analytics services into applications. At this workshop, we’ll introduce you to KNIME Server capabilities and cover everything you need to manage your analytics at scale - deploying your workflows for sharing and collaboration, scheduling and automating tasks, templating and version control. We’ll demonstrate the power of the REST API of KNIME Server and WebPortal - the ideal way for bringing data analytics to your business users.

This workshop is run by Roland Burger & Marten Pfannenschmidt (KNIME).


We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find out more here:

More online workshops

April 9 KNIME Text Mining with NER Modeling and Deep Learning
April 21 Working with the RDKit in KNIME Analytics Platform
April 23 Time Series Analysis Workshop
April 28 Text Mining on Biomedical Literature - Today: Topic Modeling
April 30 Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
May 5 Behind the Scenes of Machine Learning
May 7 Building a Drug Discovery Workflow in 8+1 steps with KNIME
May 12 Deep Learning for Image Analysis
May 14 KNIME Big Data Workshop
May 19 GDPR Compliance through Advanced Anonymization Techniques


How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?