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Two experts from Stardog and Stardog partner Lymba sat down to discuss trends in graph and NLP. Read on to find a transcript of some highlights from their conversation and a full video of the interview!
Visualizing your data is a great way to eyeball your analysis and share the results with colleagues. Stardog is making this easier with a new feature in Studio: Stardog Charts.
Our latest benchmark report proves a 1 trillion-triple knowledge graph consisting of materialized data and Virtual Graphs spanning hybrid multicloud data sources.
With our new tool Stardog Explorer, it’s easier than ever to search, browse, and understand connected data. No querying, no code — just an intuitive interface that anyone can use. Read on to learn more.
Learn how IDB built FindIt, a semantic search platform that brings knowledge generated by the IDB Group to its staff and external audiences.
Learn how ITV leverages Stardog to transform its rights service, maximizing exploitation and distribution opportunities and increasing viewer engagement.
The key to success with a data fabric is to approach it with an MVP mindset and do strictly the minimal work to accomplish the first significant tranche of business value. Here are five tips to ensure success.
Data fabric is ushering in a new era of enterprise IT. Data fabric offers a different way forward and one that’s a significant departure from the world of rows and columns in a table that we’re used to. But what outcomes does a data fabric really promise? Read on to learn more.
Announcing Stardog Explorer, a brand new way to easily explore the connections in your data. Powerful, intuitive new visualization and search capabilities make it easier for more types of users to benefit from your connected data in Stardog.
Contemplating upgrading your product portfolio with a knowledge graph? Read on to hear how Stardog customers have delivered delightful user experiences and new features to their customer bases.
It is important to be able to not only discover connections but explain them to your stakeholders. The ability to identify all links between seemingly unrelated data is called traceability. Learn how graph makes this easier than the relational model.
The original premise of data integration was focused on the correct goal of unifying data, but its execution was fundamentally flawed in that it sought to consolidate all enterprise data into one physical place. After fifty years of data warehouses and other ETL-based solutions, it’s clear that their promise for fast, complete analysis has fallen short.