Blog
FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures
Transform data engineering from a high-stress, “hero saves the day” kind of job into something systematic and predictable that actually scales as your team and business grow. Stop babysitting pipelines: SQL & ELT the FITT Way.
Data Quality Test Coverage In a Medallion Data Architecture
For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations.
Critical Data Elements: Your Shortcut to Data Governance That Actually Works
The Harsh Reality of Data Governance 💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn't involved, and no one agrees on what data truly matters. That's where Critical Data Elements (CDEs) change...
We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back
TL;DR: Functional, Idempotent, Tested, Two-stage (FITT) data architecture has saved our sanity—no more 3 AM pipeline debugging sessions. Picture this: It's 2:47 AM, your Slack is buzzing with alerts, and the CFO's quarterly report is broken because somewhere in your...
Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering
In software engineering, test coverage is non-negotiable. So why do most data teams still ship data without knowing what’s tested—and what isn’t? Explore how leading data teams are applying the proven discipline of test coverage to data and analytics—automating...
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers The parallels between software development and data analytics have never been more apparent. Just as software teams would never dream of deploying code that has only been partially...
The Data Quality Revolution Starts with You
The Data Quality Revolution Starts with One Person (Yes, That's You!) Picture this: You're sitting in yet another meeting where someone asks, "Can we trust this data?" and the room falls silent. Sound familiar? If you're nodding along, congratulations—you've just...
When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares
When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares As data engineers, we've all been there. A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent...
Webinar: A Guide to the Six Types of Data Quality Dashboards
In this exciting webinar, Christopher Bergh discussed various types of data quality dashboards, emphasizing that effective dashboards make data health visible and drive targeted improvements by relying on concrete, actionable tests. He highlighted the importance of...
Data Quality Testing: A Shared Resource for Modern Data Teams
Data Quality Testing: A Shared Resource for Modern Data Teams In today's AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business...
The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams
The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams Commercial pharmaceuticals, where billion-dollar decisions hinge on data-driven insights, success isn't just about having the right drug—it's about having the right data,...
How I Broke Our SLA and Delighted Our Customer
I broke one of our most critical SLAs just last week, and it was the best thing that could have happened. It was shaping up to be a major embarrassment. One of our key data warehouse refreshes had failed. No new data. No dashboard updates. The refresh was long past...
Is Your Team in Denial about Data Quality? Here’s How to Tell
Is Your Team in Denial about Data Quality? Here's How to Tell In many organizations, data quality problems fester in the shadows—ignored, rationalized, or swept aside with confident-sounding statements that mask a deeper dysfunction. While the cost of poor data...
White Paper: A New, More Effective Approach To Data Quality Assessments
White Paper: A New, More Effective Approach To Data Quality Assessments Data quality leaders must rethink their role. They are neither compliance officers nor gatekeepers of platonic data ideals. They are advocates. Using their language and metrics, they must campaign...
