Data Integration layer

The Data Integration layer of a Data Fabric architecture represents a set of capabilities in the form of services, tools, and data environments (development, test, and production) that support the development cycle of data to achieve downstream consumption. The Data Integration layer is composed of two pillars: data management and development workflow. Each pillar represents a group of capabilities and technologies that focus on realizing a phase in the life cycle of data. The end goal of the Data Integration layer is to technically support the ingestion, integration, and delivery of data. It needs to support the necessary provisioning and configuration to enable data to be consumed.

How does a Data Fabric support data assets, data-related assets, and Data Products?

Data can be a data asset or a data-related asset that can be grouped to represent one of the several assets in a Data Product. What differs between a data asset, a data-related asset, and a...