Articles

Nov 17, 2021

Using a Semantic Layer to Propel a Data-Driven Culture

Data warehouses, data lakes, and data lakehouses are arguably the most popular methods of integrating data today. They’re older, current, and newer integration approaches—respectively—for running analytics and applications across all enterprise data. Using a semantic layer to connect them to the rest of the data ecosystem in the cloud, on-premises, and at the edge ensures their continued relevance now and in the future.

arrow

Articles

Nov 10, 2021

How Knowledge Graphs Can Deliver Insights When Integrating Decentralised Data

The majority of large data integration projects falter because systems are developed in a bespoke fashion, leaving organisations with critical applications that have been modified and transformed into a hornet’s nest of code that they cannot unravel for fear of breaking something. So, instead of trying to unravel systems, organisations have tended to duplicate processes, leading to more silos and custom solutions, which is an expensive proposition. Similarly, projects that end up as mass data cleansing and manipulation exercises are not sustainable in a world where organisations want insight into their data at speed.

arrow

Articles

Nov 8, 2021

Setting the Record Straight: Knowledge Graphs vs. Graph Databases

Although 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.

arrow

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.

arrow

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.

arrow

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.

arrow

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.

arrow