knowledge graph

Top 5 Trends for Data Management in 2022

2022 is here! If the last two years are any indicator, maybe we’ll end up calling this the “decade of data,” with next gen data observability, data catalog, data integration platforms, cloud data warehouses, and more making big news and bringing in big funds. We’ve...

How Knowledge Graph Brings Together People, Context & Connections

When it comes to search and discovery, no one serves up better results than Google, Amazon, Facebook, and Netflix. Sure, they have big budgets and some of the brightest minds in tech on the payroll, but those aren’t the only reasons they’re successful. It’s also...

5 Questions with Kirk Borne

We all want to get more value from our data, right? So should we wrangle it, prep it, classify it, mine it, or model it? Then once we’ve got our data squared away, should we do prescriptive or predictive analytics? And does that require real-time or just-in-time data? If we had a nickel for every buzzword we hear, we could afford far better podcasting equipment.

Announcing our Knowledge Graph Accelerator’s commitment to knowledge graph technology is nothing new. We believe that an enterprise data catalog must be powered by a knowledge graph. Gartner predicts that graph technologies will be leveraged in over 80% of innovations in data and analytics by 2025....

5 Questions with Denise Gosnell

This week, Juan and Tim are joined by Denise Gosnell, CDO of Datastax, to talk about the business of open source and how community-centric data applications are reshaping the enterprise.

5 Questions with Emil Eifrem

Catalog and Cocktails hosts, Juan Sequeda and Tim Gasper sat down with CEO of Neo4j, Emil Eifrem, to cover the evolution of the data landscape so far, and to speculate where it’s heading.

5 Questions with Mike Ferguson

You can’t get from your home to the grocery simply by owning a car. You have to actually drive the vehicle to get to a place that delivers value. Sounds obvious right? But we don’t instinctively think this way when it comes to data. We focus so much on tools, processes, and architectures, but we don’t talk enough about actually using the data.