Learn how to build data apps with KNIME and create interactive data apps using the widget and visualization KNIME nodes. Put any kind of analytics solution – from simple ones that just perform basic reporting, to complex ones with sophisticated machine learning models – into the hands of end users with interactive, parameterized data apps.
With KNIME data apps, analytical results can be delivered to any number of users: through a web interface, they can self-sufficiently interact with solutions and gather insights from them, without ever having to check their corresponding underlying workflows.
In this hands-on KNIME tutorial, we will show you how to build data apps with KNIME (low-code/no-code approach).
In this session, you will learn how to create interactive data apps using the widget and visualization KNIME nodes, following the low-code/no-code paradigm
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Table of Contents:
0:00 – Intro
2:38 – KNIME in a nutshell
5:04 – KNIME analytics platform
5:39 – Visual programming for data science
7:00 –Introduction to data apps
12:17 – How to build data apps
15:12 – Data visualization
16:15 – Social Learning Theory
23:23 – Widgets and buttons
41:00 – Live demo
44:12 – QnA
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