Observations from KNIME Summit 2017
Any analytics project today requires data integration, cleansing, manipulation and often they require machine learning. In order to solve these problems a hodge podge of tooling is typically required. That usually leads to glueing technologies together that were never meant to really work with each other in the same place. The problem is exacerbated