Data-driven cultures

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...

The Data Evolution — Part IV

Let’s Sprint the ‘Last Mile’ of Data Evolution to Empower Firms, Schools, Public Health, and More Every morning we are challenged to think about data when we open our news feeds: From a panel investigating disinformation, to commentary on the sins and virtues of...

The Data Evolution — Part III

The Conundrum of Data (and data.world) — a Riddle, Wrapped in a Mystery, Inside an Enigma To bend Winston Churchill's famous description of Russia, data is a riddle, wrapped in a mystery, inside an enigma. On one hand, data’s function is as apparent and concrete as...

The Data Evolution — Part II

How the Brains and Nervous Systems of Data Ignite Corporate and Collaborative Cognition Just as I began to write this essay, eyewear startup Warby Parker effectively made the point of my last post on data’s new “Cambrian age” — The company generated $6.7 billion in...

The Data Evolution — Part I

Dawn in the Anthropocene — The Evolution of Data  We are currently witnessing the earliest days of humanity’s next chapter. Our society is evolving into a data-driven civilization, its contours just now emerging.  Understanding the significance of this point in...

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.

Why so blue? 5 reasons data engineers are burnt out

Data engineers are unhappy. Although that may seem like a broad, sweeping generalization, it’s true – and we have the stats to prove it. For our new white paper, Burned-out Data Engineers Are Calling for DataOps, we teamed up with DataKitchen to survey the job...

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.

Last-mile governance: the key to unlocking data democratization

Connecting data to the people who need it is a lot like shipping, hooking up fiber internet or running a marathon – the last mile is always the hardest. Some data catalogs do solid work pounding the data-governance pavement for the first 25 miles of the race, but when...

10 Data and Analytics Predictions

Who says mid-April is too late in the year for a predictions blog? When you’re in an industry as dynamic as data and analytics, it’s important to take a step back and look at the big picture before prognosticating.  Now we’re excited to share some key trends in...

When it’s Wednesday, it’s Catalog & Cocktails

We started our data podcast, Catalog & Cocktails, as a way to stay connected and keep the discussion going about data in the midst of the COVID-19 pandemic. Our virtual happy hour over Zoom has been a hit, and we’re excited to announce that in 2021, we already have a phenomenal lineup of experts to join our podcast and share their perspectives.

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.

What’s new and what’s next at data.world

When you’re the lone SaaS vendor in a world of legacy data catalogs, it can at times be difficult to demonstrate innovation. Continuously rolling out updates, enhancements, and fixes via the cloud means you don’t get your time in the spotlight with a monumental...