Chris Bergh

The DataOps Way to Data Quality: A Free Book for Every Data Team | DataKitchen Most data quality advice tells you what to measure. This book tells you why your team keeps failing and what to actually do about it.

The DataOps Way to Data Quality: A Free Book for Every Data Team
Most data quality advice tells you what to measure. This book explains why your team keeps failing and what to do about it.
datakitchen.io/the-dataops-...
#databs #dataquality #dataops #free #opensource

Why Your Data Quality Dashboard Isn’t Working And What to Do About It | DataKitchen This article pulls back the curtain on why standard data quality dashboards fall short. We'll reveal six powerful, and perhaps surprising, truths about data quality dashboard failure.

Why Your Data Quality Dashboard Isn’t Working And What to Do About It
We reveal six powerful, and perhaps surprising, truths about data quality dashboard failure.
datakitchen.io/why-your-dat...
#databs #dataquality #opensource

We Got Roasted On Reddit For Asking ‘Why Data Engineers Don’t Test?’ | DataKitchen We asked the r/dataengineering community 'Why don't you test?' And we got roasted. Learn why

We asked the Reddit's r/dataengineering community 'Why don't you test?' And we got roasted. Learn why
datakitchen.io/we-got-roast...
#databs #dataquality #dataops

Be the First to Know: Smart, Continuous Table Monitoring Has Arrived in TestGen | DataKitchen The days of learning about data problems from an angry business analyst should be over. With TestGen’s table monitoring, you’re watching everything automatically and continuously.

Be the first to know!

datakitchen.io/be-the-first...

#databs #opensource #dataquality

Webinar Registration - You're Massively Overpaying for Data Observability Webinar Registration - You're Massively Overpaying for Data Observability

You're Massively Overpaying for Data Observability
(And Your Vendor Hopes You Never Find Out)
Webinar: January 20th, 2026; 12 pm EST / 4 pm GMT
info.datakitchen.io/webinar-regi...
#databs

Data Quality Testing Is At The Core of Four Critical Data Team Processes | DataKitchen What Is The Common Thread Running Through Four Critical Data Team Processes? Data Testing!

Your team is doing the four activities? What is at the core of making them better?
datakitchen.io/data-quality...
#databs #dataops

Well, most problems in data teams are really process problems, not individual problems.

Webinar 2026-01 Video Form - Seven Deadly Sins Of Data Quality Webinar 2026-01 Video Form - Seven Deadly Sins Of Data Quality

Watch the On-Demand Webinar:
Seven Sins Of Data Quality
info.datakitchen.io/webinar-2026...
#dataops #databs

The Data Consultant’s Growth Playbook: Accelerating Client Acquisition and Retention with DataKitchen’s Open Source TestGen | DataKitchen A Consultant’s Guide to Using DataKitchen’s Open Source Data Quality and Data Observability Tools: How to Find New Clients, Strengthen Relationships, and Deliver Better Results

A Consultant’s Guide to Using DataKitchen’s Open Source Data Quality and Data Observability Tools: How to Find New Clients, Strengthen Relationships, and Deliver Better Results datakitchen.io/the-consulta...

How TestGen Complements Microsoft Purview for Enterprise Data Quality | DataKitchen DataKitchen's TestGen and Microsoft's Purview complement each other: Purview serves as the governance and catalog “source of truth,” while TestGen is the deep, automated data-quality and testing engin...

DataKitchen's TestGen and Microsoft's Purview complement each other: Purview serves as the governance and catalog “source of truth,” while TestGen is the deep, automated data-quality and testing engine that writes thousands of data quality tests in seconds. datakitchen.io/how-testgen-...

The Five Organizational Sins of Data Teams | DataKitchen The five organizational problems are systemic failures of culture and structure that lead to warring teams, a corrosive blame culture, "data blindness" regarding pipelines, a short-term project mindse...

The five organizational problems are systemic failures of culture and structure that lead to warring teams, a corrosive blame culture, "data blindness" regarding pipelines, a short-term project mindset, and the chaotic scattering of business logic. datakitchen.io/the-five-org...

Webinar Registration - Seven Deadly Sins Of Data Quality Webinar Registration - Seven Deadly Sins Of Data Quality

Join Us For A Fun Webinar: Seven Deadly Sins Of Data Quality
January 20th, 2026; 12 pm EST / 4 pm GMT

Confess your data sins. Find redemption. Maybe even laugh about it.

info.datakitchen.io/webinar-seve...
#databs #opensource

The Data Errors Shame Game: Why Data Engineers Avoid Harsh Truths | DataKitchen Many professionals would rather *not* know about data quality problems. Isn't finding and fixing issues the job? Yes ... but organizational dynamics around data errors punish the messenger. Here's how...

Here’s something we don’t talk about enough in data engineering: shame.
datakitchen.io/the-data-err...
#dataengineering #opensource #dataobservability #databs

The Ostrich Problem: Your Data Team Thinks Their Job Ends at Deployment. | DataKitchen What to do when your team doesn't care about data errors in production? The "deploy and forget" ostrich mindset is one of the most corrosive patterns in data engineering teams. Here's How to Change Th...

The Ostrich Problem: Your Data Team Thinks Their Job Ends at Deployment. Here's How to Change That.

What to do when your team doesn't care about data errors in production?

datakitchen.io/the-ostrich-...
#databs #dataquality #opensource

The 2026 Data Quality and Data Observability Commercial Software Landscape | DataKitchen With 50+ vendors to choose from, data quality and data observability software has never been more powerful, more plentiful, or more confusing—until now.

The 2026 Data Quality and Data Observability Commercial Software Landscape. With 50+ vendors to choose from, data quality and data observability software has never been more powerful, more plentiful, or more confusing—until now.
datakitchen.io/the-2026-dat.... #opensource #dataquality #databs

The 2026 Open Source Data Profiling Software Landscape | DataKitchen Data profiling has re-emerged as an essential first step in protecting AI-driven organizations from data-induced failures. Most open-source profiling tools stop at describing data; almost none automat...

The 2026 Open Source Data Profiling Software Landscape datakitchen.io/the-2026-ope...
#opensource #dataquality #databs

Webinar Registration - A Masterclass In The Six Types of Data Quality Dashboards Webinar Registration - A Masterclass In The Six Types of Data Quality Dashboards

A Masterclass In The Six Types of Data Quality Dashboards
Webinar: December 9th, 2025; 12 pm EST / 4 pm GMT
info.datakitchen.io/webinar-regi... #dataops #dataquality #opensource #dataengineering #databs

Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong? | DataKitchen Welcome to Analysis-A-Palooza: The Festival No Data Engineer Asked For

Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong?
hubs.ly/Q03V20Yy0
#dataengineering #dataquality #dataobservability #dataops #databs

You’re Thinking About Data Products All Wrong | DataKitchen When data team leaders hear "data products," they immediately think of the stuff their team creates. But focusing on the "what" completely misses the mark. Data products aren't about what you create, ...

You’re Thinking About Data Products All Wrong datakitchen.io/youre-thinki...
#databs #dataproduct #dataops

The 2026 Open-Source Data Quality and Data Observability Landscape | DataKitchen We explore the new generation of open source data quality software that uses AI to police AI, automate test generation at scale, and provides the transparency and control—all while keeping your CFO ha...

The 2026 Open-Source Data Quality and Data Observability Landscape

datakitchen.io/the-2026-ope....

#dataquality #dataobservability #opensource #databs

Your AI’s on a Junk Food Diet — Let’s Fix Its Data Nutrition Fast (on a Ramen Budget).
Webinar: November 6th, 2025; 12 pm EST / 4 pm GMT

You don’t need a million-dollar tool to stop feeding your AI garbage calories.
info.datakitchen.io/webinar-regi...
#databs #dataquality #opensource #dataops

Open source analytics is moving fast and The Open Source Analytics Community's #OSACon 2025 is where it all comes together. ⚡

📅 Nov. 4–5 | 100% online
🎟️ Free registration → osacon.io
⏯️ Replays available

#opensource #conference #developerevent #databs

DataOps Data Quality TestGen Expands: Now Supporting BigQuery and Apache Iceberg | DataKitchen

Exciting News! DataOps Data Quality TestGen is now compatible with Google BigQuery and can be used to profile and test file-based data accessible using Apache Iceberg and other file formats.
datakitchen.io/dataops-data...
#databs #dataquality #opensource #dataops

Webinar 2025-10 Video Watch - The FITT Way To Data Products: A New Data Architecture 10 Video Watch - The FITT Way To Data Products: A New Data Architecture

Most data architectures are designed to maximize data vendor revenues, not data team productivity. Let us show you how a Functional, Idempotent, Tested, Two-Stage (FITT) data architecture can deliver better productivity, reliability, and happiness.
info.datakitchen.io/webinar-2025... #databs

The FITT Way To Data Products: A New Data Architecture For A Product-Centric World
Webinar: October 9th, 2025; 12 pm EST / 4 pm GMT
info.datakitchen.io/webinar-regi...
#dataengineering #dataops #dataquality #opensource

5). Refactor and process improvements

Rebel With A Data Test: The Solo Data Quality Leader’s Playbook
info.datakitchen.io/webinar-regi...
#databs #dataquality #opensource

FITT vs. Fragile: SQL & Orchestration Techniques FITT Data Architectures | DataKitchen

FITT vs. Fragile: SQL & Orchestration Techniques for Functional, Idempotent, Tested, Two-Stage (FITT) Data Architectures
#dataarchitecture #databs #dataops #opensource
datakitchen.io/fitt-vs-frag...

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Data Quality Test Coverage In a Medallion Data Architecture: A Comprehensive Guide for Data Engineers
#databs #dataops #dataquality
datakitchen.io/data-quality...