Load & Manage Data

Graph Lakehouse supports loading data from RDF and non-RDF files, HTTP/REST endpoints, and relational databases via JDBC connections. The topics in this section describe the ways to load and manage your data.

Load RDF Data from Files

Instructions on loading Turtle, N-Triple, N-Quad, TriG, or JSON-LD files from a local or remote file storage system.

Load Non-RDF Data with the GDI

Instructions on loading data from CSV, JSON, Parquet, SAS, or XML files, HTTP/REST endpoints, and relational databases.

Create Labeled Property Graphs (RDF-star)

Information on Graph Lakehouse's Labeled Property Graph (LPG) model for relationship properties and instructions on creating LPGs.

Use a Query Context

Instructions on creating a Query Context to hide sensitive connection and authorization information such as keys, tokens, and user credentials in requests.

Infer New Data (RDFS+ Inferencing)

Information on the inference engine and creating new relationships based on the vocabularies in your data.

Validate Graphs with SHACL

Information on SHACL support in Graph Lakehouse, creating shapes graphs, and validating your knowledge graphs against the shapes.

Copy Graphs to Files

Instructions on using the COPY command to copy graphs from the database to files on disk.

Schedule Automated Data Updates

Information on Graph Lakehouse's CRON-like mechanism that enables you to automate and schedule data update operations.