We are proud to announce data.world was named a leader in The Forrester Wave™: Enterprise Data Catalogs for DataOps, Q2 2022. The report states “data.world is a strong fit for organizations that need to translate data product requirements to production-ready...
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...
data.world Announces Eureka™ to Accelerate Data-Driven Answers and Insights
data.world, the enterprise data catalog for the modern data stack, today announced Eureka™, a suite of knowledge-graph powered catalog capabilities that activate metadata and speed time to data-driven answers and insights. The suite includes Eureka Automations™,...
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...
Goodbye Black Box: Power Business-First Automation with Knowledge Graph
Data discovery is a primary use case of data catalogs, but your catalog can be more than just a searchable inventory of data assets and analysis. An enterprise data catalog should make you smarter, more efficient, and help you gain greater value from your data – the...
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...
The Importance of Reviews and Iteration in Agile Data Governance
You’ve established your initial use case, completed your first agile data governance sprint, and now you’re measuring and recording the impact of your project against the KPIs you established in your Agile Data Governance Charter. Congratulations! Your organization’s...
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...
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...
How to Develop Your Agile Data Governance Charter
Anyone who has worked in an enterprise organization can tell you: change is hard. Especially when it comes to shifting away from fully entrenched principles and processes like traditional top-down governance – even if it’s not working. So how do you convince data...
Why Top-Down Data Governance is Failing
Every year, enterprises worldwide waste millions of dollars on failed data initiatives. While there are a number of factors that contribute to this, data governance is often cited as a major hurdle. That’s because too many organizations view data governance as a...
