Where is SDI commonly used?

SAP Data Intelligence utilizes Smart Data Integration (SDI) primarily for data loading purposes. SDI is designed to efficiently connect and integrate disparate data sources into a target system, such as SAP HANA. This integration facilitates the seamless transfer of data from various operational systems into a centralized data repository, allowing organizations to consolidate their data for analysis.

The data loading capability of SDI allows for both batch processing and real-time data replication, which is essential for organizations that require timely access to their data for reporting and analytics. This functionality enhances the ability to maintain up-to-date datasets while ensuring data lineage and governance.

While data cleaning, transformation, and streaming are important aspects of data management, they are typically secondary functions that may accompany the loading process but are not the primary focus of SDI. Data cleaning may occur after loading to ensure data quality, transformation might happen during the loading using transformation tools, and data streaming can be another method of data integration but does not encapsulate the core purpose of SDI. Hence, focusing on data loading highlights SDI’s essential role in connecting and consolidating data in an efficient manner.