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.
How to Build a Semantic Search Engine Using a Knowledge Graph
In contrast to typical enterprise search solutions, knowledge graph-powered search returns fewer, more relevant results, reducing time spent searching up to 90%. A knowledge graph improves search by capturing the meaning of the search terms. Read on to learn how to build a semantic search application using a knowledge graph.
5 Steps to Building a Data Fabric
We hear from many of our customers that they’re interested in building a data fabric, but they’re not sure how to get started. Luckily, with a knowledge graph-based approach, you can start small and grow your data fabric over time. In this post, we’ll share an easy, approachable 5-step process for getting started with a data fabric.
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.
Turn These Five Friction Areas Into Data Sharing Opportunities
The challenges and opportunities of five common areas of data friction: Data culture, data model, data integration, data interrogation, and data intelligence.
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.
Stardog v8.2.0 Is Here!
We are excited for you to experience the latest innovations in the Stardog v8.2.0 release. This release contains several new features and many improvements that close the gap between data and insights.
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.
Where Does Business Logic Go?
Let’s talk about business logic. Where should it live inside the enterprise?
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.
Thoughts From Our 2022 Gartner Data & Analytics Summit Experience
“Enterprises are heading not toward a “new normal” but rather a “no normal.” This theme, chosen by Gartner, reinforces many of the positions held by Stardog. We’ll give you a quick summary of the conference and our takeaways here.
Announcing Stardog 8.1
Stardog 8.1.0 is now available! Read on to see what’s improved in Stardog Designer, Stardog Cloud, and the platform in general.
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.