Tutorials

There are two ways to onboard structured and semi-structured data to Graph Studio:

• Automated Workflow: The automated workflow follows an extract, load, and transform (ELT) process. In the ELT workflow, data sources are onboarded directly to graphmarts. SPARQL queries are automatically generated to transform and blend the data to an analytics-ready knowledge graph. The Graph Lakehouse Graph Data Interface (GDI) Java plugin connects to the sources, creates a model, and generates the SPARQL queries. This section includes tutorials to help you get started with the automated workflow.
• User-defined SPARQL Queries: For advanced users who are familiar with SPARQL, the GDI can also be invoked by writing queries from scratch. The GDI is extremely flexible, allowing you to connect directly to sources via queries and control all aspects of the extract, load, and transform process. In addition to the data sources that the automated workflow supports, you can also ingest raw data and data from HTTP/REST endpoints with manually written SPARQL queries. For information about the advanced method of writing GDI SPARQL queries for ingestion, see Manual Onboarding and Virtualization with SPARQL Queries.