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This document explains how to use the Graph Data Interface (GDI) to onboard relational data into Graph Studio. It covers writing GDI queries, securing credentials, optimizing performance, and leveraging ontology-driven mappings to transform tabular data into a structured knowledge graph. Contents Developer Checklist…
This document builds on the basics of GDI queries covered in Part 1. It focuses on optimizing query performance, leveraging ontology awareness for smarter filtering, and providing practical examples that demonstrate advanced GDI properties in action. Contents Leveraging the Ontology for Query Optimization Further Examples…
Introduction This article provides a developer-friendly view of how to: Access and interpret GDI logs Use the Query Context tab for safe query debugging Execute Elasticsearch queries against indexed unstructured data Tune performance using concurrency, limits, and highlights…
This document explains how to access and interpret GDI logs for troubleshooting, covering both developer-level log inspection in Graph Studio and administrator-level access on the Graph Lakehouse server. Contents Checklist Importance of GDI Logs Where GDI Logs are Generated Developer vs. Admin Capabilities For…
This discussion introduces the basics of GDI queries - how to connect to a database, define generators, and follow best practices for secure and efficient data onboarding. Contents Developer Checklist Understanding the Dataset GDI Query Structure Best Practices for Developers Troubleshooting Tips References…
The Network Navigator Dashboard in Altair Graph Studio is an interactive tool for advanced data visualization and exploration within knowledge graphs. It enables users to visually represent relationships and links between nodes in the knowledge graph, making complex data structures more intuitive to analyze. Integrated…
This article outlines the steps and considerations for setting up a graphmart that is updated regularly using GraphStudio’s REST APIs. This approach allows us to automate graphmart configuration, dataset onboarding, and executing SQARQL queries. Workflow Overview The typical API-based workflow includes the following steps:…
This article outlines migration package operations using GraphStudio’s APIs, including details on request structure, endpoint usage, URL encoding, and error handling. The APIs allow us to automate common tasks such as importing and exporting migration packages. Overview Export a Migration Package Prepare Migration Package…
This article outlines the essential authentication methods used by GraphStudio APIs, explains how to programmatically acquire and manage Bearer tokens using Graph Data Interface (GDI) patterns, and highlights best practices for secure and automated API access. Overview Authentication Methods in GraphStudio APIs Bearer…
This article covers the GraphStudio API, including supported operations, endpoint structure, URI encoding requirements, and error handling. It also introduces key benefits of using the API for workflow automation, integration, and scaling, along with tools to make API interactions easier. Overview Viewing the REST API…
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