What is the purpose of the integration layer in a data architecture?
What is the purpose of the integration layer in a data architecture?
The integration layer in a data architecture is designed to transform data to support reuse. It acts as a bridge between different data sources and the target data storage systems, like a data warehouse or data lake. This layer is responsible for transforming, cleansing, and harmonizing data, ensuring that the data from various sources is consistent and can be effectively reused by downstream applications and analytics.
B. To transform data to support reuse. The integration layer is a crucial component of a data architecture that acts as a bridge between disparate data sources and the target data platform, typically a data warehouse or data lake. Its primary function is to facilitate the seamless flow of data by transforming, cleansing, and harmonizing data from diverse sources to make it consistent and usable for downstream applications.