Stardog Voicebox Makes Building Data Models Dead Simple
As you might have heard, Stardog is applying Large Language Models (LLMs) to enterprise knowledge graph technology. So what does this actually mean?
Stardog Knowledge Kits: Your Path to Mastery in Knowledge Graphs
In this article, you’ll understand the three types of Knowledge Kits offered by Stardog, their use cases, and how to access them. Spoiler alert: they are all free.
LLM will Accelerate Knowledge Graph Adoption
We’re at the beginning of a revolution in machine-understandable semantics powered by Large Language Model breakthroughs. Stardog Voicebox, powered by LLMs, will fundamentally flatten the enterprise knowledge graph (EKG) implementation cost curve.
What if a Semantic Layer Isn’t Just for Generic Biz Metrics Any More?
The “metrics layer” is the oldest and foundational semantic layer use case. But there’s a new breed of semantic layer use cases that Stardog and its customers are pioneering.
What is a Data Mesh: Principles and Architecture
Data mesh is a new way of thinking about data based on a distributed architecture for data management. Learn more about what it is and how to use it.
Knowledge Graphs: Make This Smart Shift to Your Data & Analytics Approach
Are you managing data and analytics at your organization? Learn how tech leaders are using knowledge graphs to transform their approach.
Semantic Layers: Four Characteristics that Define the Valuable New Approach
The secret to data analytics success today is a democratized, self-service data platform, and that’s only possible when you leverage a semantic layer to shift from columns to concepts.
Activate Metadata as Part of your Semantic Layer with Stardog's Integration of Databricks Unity Catalog
Modern enterprises need to develop a Data Governance Framework. For effective governance, this is generally underpinned by a catalog megastore. Unity Catalog provides that megastore across the lakehouse, enabling business users access to full metadata across the workspaces and allowing them to visualize the relationships across the data landscape. The creation of a knowledge layer is accelerated when this metadata is available for modeling in Stardog platform.
Graph Database Examples
How do companies use graph databases in real life? At Stardog, our platform combines graph technology with semantics to enable knowledge graphs. Consider the ability to deeply understand and work with connections between organizations, people, transactions, and events (to name a few examples). Add in inferencing, scalability, and near real-time traversal of big data. The number of graph use cases explodes. Relational databases like SQL simply can’t deliver like graph can.
Stardog Is Now Available in Databricks Partner Connect
The Databricks Partner Connect integration makes it faster and easier for Databricks users. Get started on a path toward building a semantic data layer on top of the Databricks Lakehouse Platform. As an existing Databricks user, you can launch a new instance of Stardog Cloud using your Databricks credentials.
Common Graph Databases Use Cases
There are many reasons for data and analytics leaders to embrace graph techniques. These techniques can provide unique insight into business problems, especially those problems requiring contextual awareness of the connections and disconnections between multiple entities, including organizations, people, transactions, and events. A well-designed and richly populated graph can capture essential data relationships and their variable nature.
Graph Databases vs. Relational Databases: Know the Differences
Graph refers to a data organization system that emphasizes the relationships between data points. This approach contrasts with the more traditional relational data systems — where data is stored in tables.