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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.
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.
Reflections on the 2022 Data & AI Summit
A trip report reflecting on the highlights of the 2022 Data & AI Summit. We discuss Spark Connect, Delta Lake 2.0, Databricks Unity Data Catalog, and Partner Connect. Databricks has mapped out a path to the future, and Stardog is well-aligned with our partner Databricks’ worldview.
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.
Working with Messy Data: You May Have More Flexibility Than You Think
For a knowledge graph to be useful, the data must be valid and consistent. However, concerns about messy data should not impede one from moving forward with a knowledge graph project.
Introducing Stardog 8.0
Introducing the next major release of our Enterprise Knowledge Graph platform - Stardog 8.0, which contains new innovations to streamline data exploration and discovery for all citizen data users. Stardog 8.0’s new capabilities eliminate the need for specialized skills when querying a reusable, flexible semantic data layer, making it easier than ever before to accelerate data-driven insights across the enterprise.
Round-up: Knowledge Graph Conference 2022
KGC 2022 is in the books. Read about Stardog’s SVP of Engineering Mike Grove’s experience and conference presentation.
3 Ways Knowledge Graphs Can Fuel Big Data Analytics in Automotive, Now
What is the most disruptive force in the automotive industry? Electric engines? New business models? Consumer mobility? Nope. The real firebrand for the industry lies in a different kind of engine known as data. Automakers, suppliers, and dealers must adapt quickly to the changing landscape by harnessing the power of data and knowledge graphs to jump-start advanced analytics today.
Why X-Tech Startups are Seizing on Knowledge Graph
The phrase “every company is a tech company” is giving way to “every company is a data company,” which I believe means the value of technology is shifting from applications to data. And as the size and complexity of data multiply, organizations are increasingly turning to semantic knowledge graphs to harness data and unleash insights that fuel data-informed decisions.
How to Achieve Data Democratization with your Data Lakehouse
Creating a data-driven culture that looks to democratize data across all aspects of their business functions and operations for richer, faster insights that turn into actionable intelligence at the speed of business.
Knowledge Graphs and Machine Learning
Knowledge graphs make it easier to feed better and richer data into ML algorithms. The inherent traits of knowledge graphs posit them as a top tool of modern AI and ML strategy. Let’s examine a few ways in which they help.