Barr Moses
Datafloq
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Past articles by Barr:
Do Data Stewards Have The Worst Seat At The Table?
Data stewards have an impossible job. Here’s why and what we can do to empower them. → Read More
How to Build Data Products Your Company Will Actually Use
Across both public and private sectors, more organizations are adopting a 'data-driven' mindset-or, at least, data-driven messaging. But in reality, most aren't prepared for the reality of what it takes → Read More
Data Quality Management: 6 Stages For Scaling Data Reliability
I like to think of data quality management within the context of physical fitness. You can get in shape with hard work, but staying in shape requires good habits. And → Read More
You Have More Data Quality Issues Than You Think: Here's Why.
Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing, anomaly detection, and cataloging are important steps, → Read More
6 Reasons Why Companies Fail at Data Governance
This article was written with Teresa Kovich, Principal Consultant at Das42. Everywhere we go in the cloud data space today, we're hearing one message loud and clear: 'you should be → Read More
What's Next for Data Engineering in 2023? 13 Predictions
What's next for the future of data engineering? Each year, we chat with one of our industry's pioneering leaders about their predictions for the modern data stack - and share → Read More
5 Strategies For Stopping Bad Data In It's Tracks
For data teams, bad data, broken data pipelines, stale dashboards, and 5 a.m. fire drills are par for the course, particularly as data workflows ingest more and more data from → Read More
Data Swamps and The Tragedy of The Commons
A silent alarm rings in my head whenever I hear someone utter the phrase, 'data is everyone's responsibility.' You can just as easily translate this to mean that 'data is → Read More
Data warehouses and lakes will merge
Achieving data quality is becoming both easier and harder. Data leaders must help navigate challenges to drive business strategy. → Read More
Data Lineage is Broken – Here Are 5 Solutions To Fix It
Data lineage isn't new, but automation has finally made it accessible and scalable-to a certain extent. In the old days (way back in the mid-2010s), lineage happened through a lot → Read More
You Can't Out-Architect Bad Data
Say it with me: bad data is inevitable. It doesn't care about how proactive you are at writing dbt tests, how perfectly your data is modeled, or how robust your → Read More
6 Crucial Steps For Setting Your Data Team KPIs
As analytics professionals, we deal in data: serving ad-hoc reports on a minute's notice, pulling queries for executives, and generally forecasting company performance across a variety of metrics. But how → Read More
I Don't Care How Big Your Data Is
At some point in the last two decades, the size of our data became inextricably linked to our ego. The bigger the better. We watched enviously as FAANG companies talked → Read More
The Right Way to Measure ROI on Data Quality
Last week, I was on a Zoom call with Lina, a Data Product Manager who oversees a data quality program for her organization.Her team is responsible for maintaining 1000s of → Read More
Understanding the Data Mesh
Nowadays, it seems like every data person falls into two camps: those who understand the data mesh and those who don't.Rest assured: if you're in either camp, you're not alone!Rarely → Read More
Data Catalogs Are Dead; Long Live Data Discovery
It's no secret: knowing where your data lives and who has access to it is fundamental to understanding its impact on your business. In fact, when it comes to building → Read More
What is a Data Mesh and Why Should You Build One?
Ask anyone in the data industry what’s hot these days and chances are “data mesh” will rise to the top of the list, but what is it? → Read More
What Good Data Product Managers Do – And Why You Probably Need One
The companies we talk to are diligently building their data product or platform. This includes migrating to Snowflake, integrating with Databricks, moving towards a data mesh, or generally investing in → Read More
Building a Data Platform: 7 Signs It’s Time to Invest in Data Quality
One of the most frequent questions I get from customers is: when does it make sense to invest in data quality and observability? My answer is, it depends. The reality → Read More
Data Observability: The Next Frontier of Data Engineering
Introducing a better approach to building data pipelines → Read More