Spaces of knime
Explore this space for workflows and verified components provided by us at KNIME to use as blueprints and building blocks for creating workflows to solve your own data science use cases.
The "KNIME Cheat Sheet: Building a KNIME Workflow for Beginners" is a great starting point for Beginners to start learning about KNIME. With this dedicated space, we showcase the usage of nodes mentioned in the Cheat Sheet to build simple workflows. The workflows are segregated into 5 categories: Read, Explore, Transform, Analyze and Deploy which is in line with the node categories defined in the Cheat Sheet. How to use this Space? Go to the "01_Read" folder and drag workflows to your KNIME Analytics Platform to learn reading data from the various file systems into KNIME, likewise go to the other folders and learn how to explore, transform, analyze data and then deploy using KNIME The Cheat Sheet "Building a KNIME Workflow for Beginners" is available for download at: knime.com/cheat-sheets If you want to give your acquired knowledge a test run, take a look at the Just KNIME It challenges at: knime.com/just-knime-it
Finance, Accounting, and Audit
This space is for blueprints in the field of finance, accounting, and auditing. Use these blueprints not only as solution starters but to get an idea about the capabilities KNIME provides for these fields. For example: Access and combine data from various sources, clean them, and show in reports; automate processes and escape repetitive copy / pasting; build a transparent, no-code workflow instead of complex macros
KNIME solutions for classic problems on Digital Health
Find simple workflows for new users to KNIME demonstrating how to solve specific tasks or use specific nodes plus our favorite tips and tricks to help you along your learning path.
Machine Learning and Marketing
This live repository contains example workflows of common data science problems in Marketing Analytics. The original task was explained in: F. Villarroel Ordenes & R. Silipo, “Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications”, Journal of Business Research 137(1):393-410, DOI: 10.1016/j.jbusres.2021.08.036. Please cite this article, if you use any of the workflows in the repository.
Financial Services & Banking
Find solutions for retail, commercial, and investment banking. For back office tasks see the Finance, Accounting, and Audit space.
This space contains materials (example workflows, assignments, etc.) for teaching with KNIME Analytics Platform.
Codeless Time Series Analysis with KNIME
This space contains the example workflows from the "Codeless Time Series Analysis with KNIME" book (published 2022).
Just KNIME It!
Solutions for the "Just KNIME It!" challenges, uploaded weekly to this Hub space.
This space contains workflows for initializing and utilizing a KNIME Edge cluster. Please contact our customer care team for information on getting started with KNIME Edge. KNIME Edge is a distributed, container-based platform that moves the consumption of models directly to where data is generated. Built on top of Kubernetes, KNIME Edge offers the ability to deploy workflows as highly available and scalable endpoints. This allows for high throughput and low latency while also decentralizing execution by deploying into data centers, manufacturing facilities, multiple cloud providers, and more. One or more KNIME Edge clusters can be remotely managed by leveraging KNIME Server. Using KNIME Server’s WebPortal, a user can select and deploy workflows to any connected KNIME Edge clusters. Once a workflow is deployed, KNIME Edge creates locally consumable endpoints while managing execution, scaling, uptime, resiliency, and more to ensure model applications can scale seamlessly with demand.