The fact that data comes from from different data sources typically implies that they have different data semantics, which makes unifying and integrating these datasets a challenge. The semantic differences across the datasets make it hard to incorporate them together in the same analytical task, reducing the ability to get a holistic view of the data. Data Fabric techniques can automate key steps within the process, and approach the challenge by eliminating reliance on a centralized team to perform this integration.