Articles
Nov 8, 2021Although it might not be immediately discernible with all the marketing hype occluding this space, there are a number of pronounced distinctions between a true knowledge graph and a graph database.
Articles
Oct 25, 2021The big data ecosystem is constantly expanding, gravitating ever further from the four walls of the traditional centralized enterprise with a burgeoning array of external sources, services, and systems. Capitalizing on this phenomenon requires horizontal visibility into data’s import for singular use cases—whether building predictive models, adhering to regulatory accords, devising comprehensive customer views and more—across a sundry of platforms, tools, and techniques.
Articles
Oct 18, 2021What if data really is the fuel that powers engines of insight? Imagine a world exactly like ours in every way except for one key difference. Instead of the modern fossil fuel supply chain (i.e., Big Oil) being created before (or roughly coincident with) the mass production of automobiles (i.e., Ford, Volkswagen, etc.), the technology underlying actual race cars was perfected first.
Press Releases
Sep 27, 2021The acknowledgement was given to Stardog and the collective team for being a critical enabler to the development of “Concourse”, an innovative application that facilitates end-to-end integrated avionics software assessments across Exploration Systems Programs in support of Artemis I Orion Spacecraft certification.
Articles
Sep 24, 2021The data fabric concept has persisted over the past couple years as a means of providing centralized data access in an increasingly decentralized data landscape. Organizations have data scattered across various cloud, on-premise settings, and hybrids of the two. A data fabric, so the story goes, unites this data while granting singular access to it.
Articles
Sep 21, 2021The point of data is insight, and the point of insight is progress: lower costs, higher margins, more delighted customers, and in some cases, life-saving responses to emergent threats. What distinguishes a good data strategy from a bad data strategy is, to a first approximation, time to insight.
Articles
Sep 17, 2021Data management strategy is boring, right? More to the point, it’s a solved problem. The relational model, SQL, and data warehouses date to the 1980s. I mean, what could be less strategic than the “what,” “how,” and “why” of an enterprise data management strategy? Build some pipelines and ETL jobs. Define a relational schema to cover big chunks of the business and drive analytics off the data warehouse OLAP cube queries. Easy right?
