This data sheet explains how IDOL connectors aggregate and process structured and unstructured data across 160+ repositories using standardized workflows. Pages 1–4 show how connectors extract metadata, manage bi-directional content, synchronize CRUD operations, apply legal holds, and enrich repositories using machine learning. They support speech-to-text, OCR, face recognition, and advanced ETL logic using LUA scripting. The connectors maintain native ACL security, handle big data sources (Hadoop, social media), and enable governance actions like delete, collect, insert, and release. Benefits include scalable data ingestion, consistent processing, and reduced development overhead.

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