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. When building a data warehouse, the bulk 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 being trusted amongst analytics consumers.
This whitepaper shows you some of the consideration and best practices in building high-performance, cost-optimized data pipelines with AWS Glue.
