Gartner defines data integration as a discipline comprising the practices, architectural techniques and tools that allow organizations to ingest, transform, combine and provision data across the spectrum of data types. This integration takes place in the enterprise and beyond — across partners as well as third-party data sources and use cases — to meet the data consumption requirements of all applications and business processes. This is inclusive of any technology that supports data integration requirements regardless of current market nomenclature (e.g., data ingestion, data transformation, data processing, data pipelining, data replication, data synchronization, data virtualization, stream data integration, data services, data fabrics, data engineering, and many more).