data architecture

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...

How an Enterprise Data Catalog Fast Tracks Domain-Driven Data Governance

In my last post, I wrote about the benefits of a domain-driven approach to data governance… and I reminisced about the glory days of the early ‘00s. Putting low-rise jeans and boy bands aside for just a minute, this follow-up post focuses on how adopting an enterprise...

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...

Data is from Mars. Data Science is from Venus.

Today’s explosion of data is unstructured, feral, even wild. It is heterogeneous, or simply diverse. Which contrasts with the way our technologies have long sought to organize data into usable form, by making it homogeneous – or uniform. Enter ‘data mesh’ a radical...

How to Scale Your Data Culture with Data Mesh

Two decades into the twenty-first century, the majority of enterprise organizations continue to struggle to derive true value from their ever-growing stores of data. Bottlenecks created by centralized data teams, monolithic architectures, and restrictive governance...

Why It’s Time to Invest in a Data Catalog

It’s 2022, and data is the lifeblood of business. Gone are the days when executives made decisions based on “business savvy” or “gut instinct.” The most successful modern enterprise businesses — including Netflix, Amazon, Spotify, and Uber — have created highly...

5 Questions with Jans Aasman

We all strive to be data-driven. And yet we all instinctively know that we’re not very good at it. In fact, if you believe any number of recent surveys, it seems we may actually be getting worse at data. One reason for this is a misalignment on what success looks like. How do you define and measure it? What is the actual value of your data?

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...

3 Ways To Prevent Data Engineer Burnout

Data engineers — The reluctant heroes of your data team Does Superman ever feel burned out? Does he feel he has to constantly meet unrealistic expectations? Does he resent the lack of work-life balance that comes with the title “hero”?  And if so, is he likely to hang...

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...

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