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Stardog Press Kit

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Articles

Oct 25, 2021

2022 Trends in Data Modeling: The Interoperability Opportunity

The 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.

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Articles

Oct 18, 2021

Modern Data Integration Requires Hybrid Multicloud Data Fabric

What 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.

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Press Releases

Sep 27, 2021

NASA Honors Stardog for Artemis Flight Software Assessment App

The 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.

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Articles

Sep 24, 2021

The Analytics Magic of a Data Fabric

The 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.

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Articles

Sep 21, 2021

Why The Big Three Can't Win the Hybrid Multi-Cloud Game

The 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.

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Articles

Sep 17, 2021

Data Management Strategy Is More Strategic than You Think

Data 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?

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Articles

Sep 8, 2021

What They Don’t Tell You about Cloud Computing…But Should

“Silicon Valley’s IT business is really good at telling stories and painting pictures in the early days that are attractive, and it gets people moving in a direction,” explained Stardog CEO Kendall Clark. “And then, just like any other complicated human thing, the costs come later, and the sober reality comes in later.”

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