Knime.

Overview

Teaching: 90 min

Questions

How the data science landscape looks like in regard to tools?

How to implement an end-to-end data analytics workflow integrated with multiple sources?

How to do rapid prototype a data analytics workflow with low code tools, opposed to using a programing language (R,Python etc)?

Objectives

Introducing KNIME as data analytics tool

Basic exercises with KNIME

End-to-end (from data acquisition to visualization) practice exercise

Keywords

#DATA SCIENCE BY GARTNER

#KNIME

#EUROSTAT WORKFLOW

#CLIMATE WORKFLOW

Prerequisites for this chapter

Installing KNIME Analytics Platform

Download KNIME for (Window/Linux/Mac) from: https://www.knime.com/downloads/download-knime

Please make sure the installation is valid and the application starts properly!

Play around with the UI and review the Getting Started Guide