Data integration is the process of combining data from different sources into a single, unified view.
We apply guided automation to speed up this process and use therefore the open standards of Data Vault 2.0.
Data Engineers build pipelines that transform that data into formats that data scientists can use. Data Engineers often works as part of an analytics team, providing data in a ready-to-use form to data scientists who are looking to run queries and algorithms against the information for predictive analytics, machine learning and data mining purposes.
Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.