Imagine you bought a brand-new sports car, but the manufacturer has neglected to include side-view mirrors. Your view through the front windshield is clear, and you can see the cars directly behind you, but you can’t tell if it’s safe to change lanes. You are missing a critical piece of data that you need to make a good decision. This is what it’s like when your data isn’t integrated: part of your view is crystal clear, but you have a blind spot the size of a truck.
Data integration involves combining data from different sources while providing a unified view of the combined data, enabling you to query and manipulate all of your data from a single interface and derive analytics and statistics. While the sources and types of data continue to grow, it becomes increasingly important to be able to perform quality analysis on that data. https://goo.gl/86nZNf #DataIntegration #ML
