data architecture

Web3 – but Who’s Counting?

In any long-term technology trend, there comes a point, or points, if the trend goes on long enough, where there seems to be a sort of ‘sea change’ in how the world views the technology; a change in expectations in the general population. Sometimes we even give those...

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...

Anatomy of an Agile Data Governance Sprint

So you’ve persuaded your data leaders and key stakeholders that the only way to achieve a data-driven culture is by adopting an Agile Data Governance methodology. Great! You’re on your way to becoming an organization where data producers and data consumers work... announces new integrations for the modern data stack is happy to announce several new integrations to increase visibility into data pipelines and assets. Customers can now seamlessly catalog and query data and metadata from Databricks, Reltio, and Salesforce, adding to our more than 100 pre-built...

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.

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.