Integrating External Data with Graph Connectors

Is your organization's critical data scattered across multiple external platforms, making it difficult for users to find what they need? Graph connectors bridge this gap by bringing external data directly into your central search index. In this comprehensive text-based course, you will learn how to plan, configure, and deploy Graph connectors to index external content. You will transform how your team accesses information by unifying disjointed data sources into a single, cohesive search experience. What you'll learn: 1. Understand the core architecture and security models of Graph connectors. 2. Configure connection settings and define schemas for external data sources. 3. Manage ingestion pipelines, including full and incremental crawls. 4. Apply modern security trimming to ensure users only see content they have permission to access. 5. Troubleshoot common connection errors and monitor ingestion health. 6. Design search layouts to present external data effectively to end-users. We begin with foundational concepts of search indexing and API integration before moving into step-by-step configuration workflows and data mapping strategies. You will progress through practical scenarios that showcase how to securely ingest, format, and present external database or file share content. This course is designed for IT professionals, system administrators, and developers who are new to Graph connectors and want to unify their enterprise search. No prior experience with custom connectors is required. Start reading to unlock the full potential of your organization's data today.