Operational data integration is often addressed by implementing custom programs or routines, completed on-demand for a specific need.
Data migration/loading and data synchronization/replication are the most common applications of operational data integration, and often require:
Complex mappings and transformations with aggregations, calculations, and so on due to variation in data structure,
Conflicts of data to be managed and resolved taking into account record update precedence or "record owner",
Data synchronization in nearly real time as systems involve low latency.
Most connectors addressing each of the above needs are detailed in Talend Open Studio for Big Data Components Reference Guide. For information about their orchestration in Talend Studio, see Designing a Job. For high-level business-oriented modeling, see Designing a Business Model. For information about designing a detailed data integration Job using the output stream feature, see Using the output stream feature.