Chapter 2: Data Access and Preprocessing with KNIME Analytics Platform

Before deep-diving into neural networks and deep learning architectures, it might be a good idea to get familiar with KNIME Analytics Platform and its most important functions.

In this chapter, we will cover a few basic operations within KNIME Analytics Platform. Since every project needs data, we will first go through the basics of how to access data: from files or databases. In KNIME Analytics Platform, you can also access data from REST services, cloud repositories, specific industry formats, and more. We will leave the exploration of these other options to you.

Data comes in a number of shapes and types. In the Data Types and Conversions section, we will briefly investigate the tabular nature of the KNIME data representation, the basic types of data in a data table, and how to convert from one type to another.

At this point, after we have imported the data into a KNIME workflow, we will show some basic...