Data integration is a critical element in building a data lake and a data warehouse. Data integration enables data from different sources to be cleaned, harmonized, transformed, and finally loaded. In the process of building a data warehouse, most of the development efforts are required for building a data integration pipeline. Data integration is one of the most critical elements in data analytics ecosystems. An efficient and well-designed data integration pipeline is critical for making the data available and trusted amongst the analytics consumers.
