Lesson 1. Overview of KNIME Analytics Platform

KNIME-Data-Wranglers-L1-Lesson1

In this lesson we’ll guide you through the first steps, like installing KNIME Analytics Platform, navigating the KNIME workbench, importing and exporting workflows, getting familiar with the basic concepts of visual programming, creating nodes and workflows. If you’re already familiar with KNIME Analytics Platform, note that you could jump straight to the next lesson: Data Access.

Jump to the following main sections:

Installation Guide

Getting Started with KNIME Analytics Platform

Nodes, Data, and Workflows

Installation Guide

KNIME Analytics Platform is open source. All you need to do is download it from the KNIME website.

Different operating systems (Windows, Mac, and Linux) are supported, and you can install your first version with or without the free KNIME extensions. Extensions bring additional analytical capabilities for specific analytics purposes.

Jump to the following subsections:

KNIME Analytics Platform Installation Guide

Here we show you how to install KNIME Analytics Platform, starting with visiting the download page through to launching the application on your machine.

 

Install KNIME Extensions

By installing extensions and integrations you can add nodes for special analytics purposes, such as text mining, big data analytics, parameter optimization, and many more to your installation of KNIME Analytics Platform.

 

Getting Started with KNIME Analytics Platform

KNIME Analytics Platform is installed. Now it's time to launch it. By clicking the icon on the desktop, going to “KNIME” in the Start menu, or directly from the application/executable in the folder where KNIME has been installed

Jump to the following subsections:

The KNIME Workbench

In the following videos, we’ll take you on a tour of the KNIME workbench, with more details about the Node Repository and the Workflow Coach.

 

 

 

 

 

Where to find Example Workflows

The KNIME Hub is the public repository of the KNIME community to upload and share resources, like workflows, extensions, custom nodes, and documentation. All ready to use, just download them or drag&drop them to your KNIME Workbench. Some of those workflows (the educational ones) are also available in the KNIME Explorer panel in the KNIME Workbench.

 

Nodes, Data, and Workflows

Now that everything is set up, let’s focus on the middle part of the workbench - the workflow editor - where you’ll build your workflows for data wrangling. 

In these videos you’ll find out how to create an empty workflow, use your first nodes to perform some tasks, check the results, and document the workflow.

Jump to the following subsections:

Nodes, Workflows, and Workflow Groups

Two basic concepts in visual programming in KNIME are nodes and workflows. We’ll create a new workflow and organize it inside a workflow group in the local workspace. Then we’ll show how to find and use a node and define the settings for its task; and how to enrich your workflow with annotations and comments.

 

 

 

The Data Structure

Let’s inspect the data at the output of a node in more detail. The so-called “data table” is the structure that KNIME uses to organize data.

 

Import and Export Workflows

Portable workflows, but how? Here we show how you can import and export workflows and workflow groups to and from your LOCAL workspace as .knwf (workflows) and .knar (workflow group) files.

 

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