Emily Pick

How to Evaluate a Modern Data Catalog

The data catalog market has exploded in recent years, and for good reason. Organizations have a ton of data and metadata, but it’s often difficult to find and understand, and people are not sure how to apply the data to their business. A modern data catalog serves as...

Visualize Your Data and Analytics Ecosystem with Eureka Explorer™

Coming to a catalog near you in fall 2022 The modern data stack is complex and constantly evolving. Traditional data catalogs have a hard time cataloging the volume and diversity of data being ingested, let alone enabling data teams to use it. Without new ways of...

You Have Questions, We Have Eureka Answers™

Data analysts and data scientists are the lifeblood of your data and analytics organization. You rely on their insights to drive important business decisions, but searching your data catalog to find the information needed to fuel their analyses is often fraught with...

Know Where to Go with Eureka Action Center™

Your data catalog is a central knowledge repository that acts as a hub for data and analytics governance. It is the meeting point for data producers, data consumers, and data product managers to share important information. Given the important role it plays in...

Simplify Data Catalog Management with Eureka Automations™

An enterprise data catalog should make your organization smarter and more efficient – the more automated the better. But automation is not the answer if it doesn’t help people extract real value from the data and analytics environment. data.world with Eureka...

The Role of a Data Catalog in Data Mesh

In our previous posts in this series, we focused on the people, processes, and cultural aspects of data mesh. Before we dive into the technical stuff, we should be clear about one thing: if someone tries to sell you a "data mesh platform," run away as fast as...

The Data Mesh Balancing Act: Centralized vs. Decentralized Governance

In the second post in our data mesh blog series, we introduced the Data Product ABCs framework.Here, we’ll explore how you find the perfect balance of centralized and decentralized federated data governance to cash in on the full value of your data mesh. Top-down...

Do You Know Your Data Product ABCs?

 In our last post, we addressed the market definition of data mesh.Now we’re sharing our point of view on how you should implement it. The most important aspects of data mesh First, as a socio-technical approach, we believe data mesh is as much about people and...

3 Enterprise Data Management Trends CDOs Can’t Stop Talking About

When it comes to building a winning data culture, everyone’s looking for the new process, technology, or methodology that is going to help them turn the corner. Meeting with customers, prospects, and analysts, we hear about a lot of them, but there are three...

Last-Mile Governance is More than a Query Workbench

Enterprises adopt data catalogs for a variety of purposes. One of the most popular is data discovery. But in today’s governance-focused world, connecting data consumers with the assets and analysis needed to make informed business decisions requires more than a simple...

Is Your Data Catalog Extensible?

Modern data catalogs must be able to scale up as demand for data and knowledge grows within the enterprise. But not every catalog has that capacity – many can only scale out to multiple instances.  Data and analytics ecosystems are evolving at an amazing pace. New...

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...

Why Your Enterprise Data Catalog Needs to be Cloud Native

When it comes to data catalogs, not all solutions are created equal – and the tell is in how they define their cloud infrastructure. Many claim to be cloud-based or cloud-enabled, but that just means their applications were built traditionally (on-prem) and then...