Data catalogs

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...

Calculate your data catalog’s ROI

Enterprises, analysts, and experts agree: data catalogs have a significant impact on your business’ bottom line. Without one, you risk getting left behind by your more data-driven competitors. Gartner calls augmented data catalogs an “enterprise must-have,” while...

What it means to be a true cloud-native data catalog

When Marc Benioff popularized the term "cloud," validated the Software-as-a-Service delivery model, and coined the phrase "No software" at Salesforce.com, he had a very distinct vision in mind. He saw a world where businesses were free from the time and expense of...

That’s a wrap for data.world summit 2020

Missed data.world summit 2020? Visit this page to watch a replay of the full event. “With data, anything is possible.” With that message, our CEO Brett Hurt kicked off our first data.world summit last week. He succinctly captured the moment in history we’re in today,...

Data catalogs: build or buy?

Do you spend hours searching for the one person in your company who holds the keys to the data you need? Once you have the data, do you struggle to understand it? Do you even trust it?  If any of this sounds familiar, you’re in great company. IBM estimates that the US...

How to move faster without sacrificing data quality

We all know that data is growing rapidly in size and complexity. So is the demand for faster and deeper insights. As we try to tame the growing data chaos while speeding up integration, processing, analysis, and access, data quality suffers. Let’s explore the ways we...

10 tips for building your data warehouse and data catalog together

What do you do first, build a data warehouse or catalog your data? It’s not quite the chicken and egg question, but it is a dilemma that many enterprise data leaders face. In this blog, we’ll explore why and how you should do both at the same time. Read on if you’re...