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Querying using GDI - Part 2
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…
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Querying DB Logs Using GDI in Graph Studio
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…
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Logging for Troubleshooting using GDI Queries
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…
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Querying Using GDI - Part 1
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…
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AGS Network Navigator Demonstration
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…
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Creating a Graphmart Programmatically Using GraphStudio APIs
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:…
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Creating Migration Packages Programmatically with GraphStudio APIs
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…
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Authentication and Token Management with GraphStudio APIs
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…
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Introduction to GraphStudio APIs for Developers
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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Connecting Graph Studio to External Databases
This document walks through the steps to configure a relational data source in Graph Studio using the Graph Data Interface (GDI). It covers creating the source, setting connection parameters, validating connectivity, defining schemas, and preparing data for ingestion into the knowledge graph. Contents Developer Checklist…
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Pre-Requisites for Database Connectivity
This document provides a practical checklist and best practices for configuring Graph Data Interface (GDI) connections in Graph Studio. It covers driver setup, network access, credentials, and validation steps to ensure reliable connectivity between Graph Lakehouse and external databases. Terminology Alignment Please note…
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Altair is a 2X Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning
We are pleased to share that Altair have been recognized as Leaders for the 2nd year in a row in the Gartner(r) Magic Quadrant(tm) for Data Science and Machine Learning Platforms! In the words of Altair CTO Sam Mahalingham: 'We think being recognized as a Leader for the second consecutive year further validates Altair’s…
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Integrate Knowledge Graphs into Patient Safety Workflows
The Altair® RapidMiner® data analytics and artificial intelligence (AI) platform offers the ability to transform all relevant data into a common format using shared concepts and relationships. Data engineers, working collaboratively with safety experts, can set up robust automated pipelines that integrate all available…
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Knowledge Graph Applications in Manufacturing
Manufacturing environments generate vast amounts of data from disparate sources, including sensors, machines, and enterprise systems. Knowledge graphs can integrate all that data and provide a unified view that supports insightful, fully informed decision-making to reduce costs, increase efficiency, and improve quality. By…
