Blog posts written by
Chris Bergh

View all the latest DataKitchen posts from Chris Bergh.

All Chris BerghDataKitchen Marketing TeamDataKitchenPriyanjna SharmaGil BenghiatChip BlocheAbhinav TiwariEric Estabrooks
The Data Contract Is Your Receipt

The Data Contract Is Your Receipt

Chris Bergh · April 20, 2026
Context As Infrastructure: The Six-Category Framework for AI-Ready Data Analysis

Context As Infrastructure: The Six-Category Framework for AI-Ready Data Analysis

Chris Bergh · April 16, 2026
Data Production Tripwires in Databricks: Stop Bad Data Before It Reaches Production

Data Production Tripwires in Databricks: Stop Bad Data Before It Reaches Production

Chris Bergh · April 6, 2026
Introducing BuzzOps: A Tool to Translate Vendor BS. You're Welcome.

Introducing BuzzOps: A Tool to Translate Vendor BS. You're Welcome.

Chris Bergh · April 1, 2026
DataKitchen Enhances Its Support for Data Stewards to Manage Data Quality Tests in TestGen

DataKitchen Enhances Its Support for Data Stewards to Manage Data Quality Tests in TestGen

Chris Bergh · March 30, 2026
TestGen Now Supports Oracle and SAP HANA, with a New Setup Wizard to Get You Running Fast

TestGen Now Supports Oracle and SAP HANA, with a New Setup Wizard to Get You Running Fast

Chris Bergh · March 30, 2026
$1 Billion in Data Observability VC Investment: This Is Not Going to End Well

$1 Billion in Data Observability VC Investment: This Is Not Going to End Well

Chris Bergh · March 24, 2026
DataOps + FITT + Data Testing = 10x Data Engineering Productivity with AI

DataOps + FITT + Data Testing = 10x Data Engineering Productivity with AI

Chris Bergh · March 16, 2026
We Just Eyeball Row Counts and Pray

We Just Eyeball Row Counts and Pray

Chris Bergh · March 16, 2026
The Equation For AI Success: DT + DX + CTX = 10x

The Equation For AI Success: DT + DX + CTX = 10x

Chris Bergh · March 10, 2026
Why Your Data Quality Dashboard Isn't Working And What to Do About It

Why Your Data Quality Dashboard Isn't Working And What to Do About It

Chris Bergh · March 9, 2026
Webinar: You’re Massively Overpaying For Data Observability

Webinar: You’re Massively Overpaying For Data Observability

Chris Bergh · February 26, 2026
Be The First To Know: Smart, Continuous Table Monitoring Has Arrived In TestGen

Be The First To Know: Smart, Continuous Table Monitoring Has Arrived In TestGen

Chris Bergh · February 24, 2026
Data Quality Testing Is At The Core of Four Critical Data Team Processes

Data Quality Testing Is At The Core of Four Critical Data Team Processes

Chris Bergh · February 10, 2026
Stop Paying The Data Quality Tax

Stop Paying The Data Quality Tax

Chris Bergh · February 5, 2026
On-Demand Webinar: Seven Sins Of Data Quality

On-Demand Webinar: Seven Sins Of Data Quality

Chris Bergh · January 20, 2026
The Five Organizational Sins of Data Teams

The Five Organizational Sins of Data Teams

Chris Bergh · January 19, 2026
The Data Consultant's Growth Playbook: Accelerating Client Acquisition and Retention with DataKitchen's Open Source TestGen

The Data Consultant's Growth Playbook: Accelerating Client Acquisition and Retention with DataKitchen's Open Source TestGen

Chris Bergh · January 18, 2026
The Seven Deadly Sins of Data Quality

The Seven Deadly Sins of Data Quality

Chris Bergh · January 7, 2026
Webinar: A Masterclass In The Six Types Of Data Quality Dashboards

Webinar: A Masterclass In The Six Types Of Data Quality Dashboards

Chris Bergh · January 5, 2026
The Data Errors Shame Game: Why Data Engineers Avoid Harsh Truths

The Data Errors Shame Game: Why Data Engineers Avoid Harsh Truths

Chris Bergh · December 31, 2025
The Ostrich Problem: Your Data Team Thinks Their Job Ends at Deployment.

The Ostrich Problem: Your Data Team Thinks Their Job Ends at Deployment.

Chris Bergh · December 19, 2025
The 2026 Open Source Data Profiling Software Landscape

The 2026 Open Source Data Profiling Software Landscape

Chris Bergh · December 10, 2025
The 2026 Data Quality and Data Observability Commercial Software Landscape

The 2026 Data Quality and Data Observability Commercial Software Landscape

Chris Bergh · December 1, 2025
Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong?

Sure, Go Ahead And Feed That Data To The LLM … What Could Possibly Go Wrong?

Chris Bergh · November 19, 2025
Webinar: Data Quality, DataOps, and Large Language Models

Webinar: Data Quality, DataOps, and Large Language Models

Chris Bergh · November 6, 2025
You're Thinking About Data Products All Wrong

You're Thinking About Data Products All Wrong

Chris Bergh · October 31, 2025
The 2026 Open-Source Data Quality and Data Observability Landscape

The 2026 Open-Source Data Quality and Data Observability Landscape

Chris Bergh · October 28, 2025
Webinar: The FITT Way To Data Products: A New Data Architecture For A Product-Centric World

Webinar: The FITT Way To Data Products: A New Data Architecture For A Product-Centric World

Chris Bergh · October 14, 2025
DataOps Data Quality TestGen Expands: Now Supporting BigQuery and Apache Iceberg

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

Chris Bergh · October 13, 2025
Process Guardianship: The Most Valuable Data Engineering Work You're Probably Not Doing

Process Guardianship: The Most Valuable Data Engineering Work You're Probably Not Doing

Chris Bergh · October 8, 2025
Flip the Script on Data Quality: Shift Left, Shift Down, and Take Control

Flip the Script on Data Quality: Shift Left, Shift Down, and Take Control

Chris Bergh · September 30, 2025
FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures

FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures

Chris Bergh · August 18, 2025
Data Quality Test Coverage In a Medallion Data Architecture

Data Quality Test Coverage In a Medallion Data Architecture

Chris Bergh · August 11, 2025
Critical Data Elements: Your Shortcut to Data Governance That Actually Works

Critical Data Elements: Your Shortcut to Data Governance That Actually Works

Chris Bergh · July 31, 2025
Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering

Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering

Chris Bergh · July 17, 2025
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers

Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers

Chris Bergh · July 8, 2025
The Data Quality Revolution Starts with You

The Data Quality Revolution Starts with You

Chris Bergh · June 20, 2025
Webinar: A Guide to the Six Types of Data Quality Dashboards

Webinar: A Guide to the Six Types of Data Quality Dashboards

Chris Bergh · June 18, 2025
Data Quality Testing: A Shared Resource for Modern Data Teams

Data Quality Testing: A Shared Resource for Modern Data Teams

Chris Bergh · June 6, 2025
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

Chris Bergh · May 30, 2025
DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025

DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025

Chris Bergh · April 24, 2025
White Paper: A New, More Effective Approach To Data Quality Assessments

White Paper: A New, More Effective Approach To Data Quality Assessments

Chris Bergh · April 24, 2025
Webinar: A New, More Effective Approach To Data Quality Assessments

Webinar: A New, More Effective Approach To Data Quality Assessments

Chris Bergh · April 16, 2025
“Trusting Your Gut” 78.45% More Effective Than Data-Driven Decisions

“Trusting Your Gut” 78.45% More Effective Than Data-Driven Decisions

Chris Bergh · April 1, 2025
Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

Webinar: Announcing Actionable, Automated, & Agile Data Quality Scorecards – 2024

Chris Bergh · March 26, 2025
Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

Unlocking Data Team Success: Are You Process-Centric or Data-Centric?

Chris Bergh · March 20, 2025
How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons

How Data Quality Leaders Can Gain Influence And Avoid The Tragedy of the Commons

Chris Bergh · March 13, 2025
Announcing Open Source DataOps Data Quality TestGen 3.0

Announcing Open Source DataOps Data Quality TestGen 3.0

Chris Bergh · February 20, 2025
No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically

Chris Bergh · February 17, 2025

Summary of the Gartner Presentation: “How Can You Leverage Technologies to Solve Data Quality Challenges?”

Chris Bergh · December 17, 2024
Webinar: Data Quality in a Medallion Architecture – 2024

Webinar: Data Quality in a Medallion Architecture – 2024

Chris Bergh · December 6, 2024
A Guide to the Six Types of Data Quality Dashboards

A Guide to the Six Types of Data Quality Dashboards

Chris Bergh · November 27, 2024
The Race For Data Quality in a Medallion Architecture

The Race For Data Quality in a Medallion Architecture

Chris Bergh · November 5, 2024
Read White Paper: Data Quality The DataOps Way

Read White Paper: Data Quality The DataOps Way

Chris Bergh · October 10, 2024
Podcast: The Data Strategy Show

Podcast: The Data Strategy Show

Chris Bergh · October 8, 2024
Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact

Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact

Chris Bergh · September 18, 2024
Podcast: Data Hurdles Poscast

Podcast: Data Hurdles Poscast

Chris Bergh · July 8, 2024
How Three Small Pharma Companies Used DataKitchen to Achieve Commercial Launch Success and Skyrocket to $100 Billion in Acquisition Value

How Three Small Pharma Companies Used DataKitchen to Achieve Commercial Launch Success and Skyrocket to $100 Billion in Acquisition Value

Chris Bergh · June 11, 2024
Data Observability and Data Quality Testing Certification Series

Data Observability and Data Quality Testing Certification Series

Chris Bergh · May 14, 2024
The Five Use Cases in Data Observability: Overview

The Five Use Cases in Data Observability: Overview

Chris Bergh · May 10, 2024
The Five Use Cases in Data Observability: (#1) Data Quality in New Data Sources

The Five Use Cases in Data Observability: (#1) Data Quality in New Data Sources

Chris Bergh · May 10, 2024
The Five Use Cases in Data Observability: (#2) Effective Data Anomaly Monitoring

The Five Use Cases in Data Observability: (#2) Effective Data Anomaly Monitoring

Chris Bergh · May 10, 2024
The Five Use Cases in Data Observability: (#3) Mastering Data Production

The Five Use Cases in Data Observability: (#3) Mastering Data Production

Chris Bergh · May 10, 2024
The Five Use Cases in Data Observability: (#4) Fast, Safe Development and Deployment

The Five Use Cases in Data Observability: (#4) Fast, Safe Development and Deployment

Chris Bergh · May 10, 2024
The Five Use Cases in Data Observability: (#5) Ensuring Accuracy in Data Migration

The Five Use Cases in Data Observability: (#5) Ensuring Accuracy in Data Migration

Chris Bergh · May 10, 2024
Webinar Summary: Introducing Open Source Data Observability

Webinar Summary: Introducing Open Source Data Observability

Chris Bergh · May 6, 2024
Why We Open-Sourced Our Data Observability Products

Why We Open-Sourced Our Data Observability Products

Chris Bergh · April 18, 2024
Webinar Summary: Agile, DataOps, and Data Team Excellence

Webinar Summary: Agile, DataOps, and Data Team Excellence

Chris Bergh · April 11, 2024
Congratulations to the Karuna Team for their acquisition!

Congratulations to the Karuna Team for their acquisition!

Chris Bergh · March 18, 2024
Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

Chris Bergh · March 12, 2024
ngx-toolkit, a new open-source project from DataKitchen

ngx-toolkit, a new open-source project from DataKitchen

Chris Bergh · March 5, 2024
Why Not Hearing About Data Errors Should Worry Your Data Team

Why Not Hearing About Data Errors Should Worry Your Data Team

Chris Bergh · March 5, 2024
Your LLM Needs a Data Journey: A Comprehensive Generative AI Guide for Data Engineers

Your LLM Needs a Data Journey: A Comprehensive Generative AI Guide for Data Engineers

Chris Bergh · February 27, 2024
DataKitchen Resource Guide To Data Observability & DataOps

DataKitchen Resource Guide To Data Observability & DataOps

Chris Bergh · February 23, 2024
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

Chris Bergh · February 22, 2024
On Demand Webinar: Beyond Data Observability

On Demand Webinar: Beyond Data Observability

Chris Bergh · December 7, 2023
Navigating the Chaos of Unruly Data: Solutions for Data Teams

Navigating the Chaos of Unruly Data: Solutions for Data Teams

Chris Bergh · November 10, 2023
On Demand Webinar: Data Observability Demo Day

On Demand Webinar: Data Observability Demo Day

Chris Bergh · November 6, 2023
The Need For Personalized Data Journeys for Your Data Consumers

The Need For Personalized Data Journeys for Your Data Consumers

Chris Bergh · October 20, 2023
Data Teams and Their Types of Data Journeys

Data Teams and Their Types of Data Journeys

Chris Bergh · October 2, 2023
Bridging the Gap: How 'Data in Place' and 'Data in Use' Define Complete Data Observability

Bridging the Gap: How 'Data in Place' and 'Data in Use' Define Complete Data Observability

Chris Bergh · September 21, 2023
On Demand Webinar: Automated Test Generation – Why Data Teams Need It

On Demand Webinar: Automated Test Generation – Why Data Teams Need It

Chris Bergh · September 20, 2023
A Summary Of Gartner's Recent Innovation Insight Into Data Observability

A Summary Of Gartner's Recent Innovation Insight Into Data Observability

Chris Bergh · August 8, 2023
The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

Chris Bergh · July 27, 2023
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing

Chris Bergh · July 12, 2023
Introducing The Five Pillars Of Data Journeys

Introducing The Five Pillars Of Data Journeys

Chris Bergh · June 19, 2023
Why the Data Journey Manifesto?

Why the Data Journey Manifesto?

Chris Bergh · June 12, 2023
Webinar Summary: Data Mesh and Data Products

Webinar Summary: Data Mesh and Data Products

Chris Bergh · May 4, 2023
ON-DEMAND WEBINAR: Data Products and Data Mesh

ON-DEMAND WEBINAR: Data Products and Data Mesh

Chris Bergh · May 4, 2023
Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

Chris Bergh · April 11, 2023
ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

Chris Bergh · April 7, 2023
Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

Chris Bergh · March 16, 2023
Only One Problem To Solve for Successful Data and Analytics

Only One Problem To Solve for Successful Data and Analytics

Chris Bergh · March 8, 2023
A summary of Gartner's recent DataOps-driven data engineering best practices article

A summary of Gartner's recent DataOps-driven data engineering best practices article

Chris Bergh · February 21, 2023

Question: What is the difference between Data Quality and DataOps Observability?

Chris Bergh · February 19, 2023
A Data Prediction for 2025

A Data Prediction for 2025

Chris Bergh · February 2, 2023
Podcast: Discovering Data: Build a little, test a little, learn a lot

Podcast: Discovering Data: Build a little, test a little, learn a lot

Chris Bergh · January 26, 2023
"You Complete Me," said Data Lineage to Data Journeys.

"You Complete Me," said Data Lineage to Data Journeys.

Chris Bergh · January 23, 2023
The Terms and Conditions of a Data Contract are Data Tests

The Terms and Conditions of a Data Contract are Data Tests

Chris Bergh · December 29, 2022
An AI Chat Bot Wrote This Blog Post …

An AI Chat Bot Wrote This Blog Post …

Chris Bergh · December 9, 2022
Gartner Market Guide to DataOps Software

Gartner Market Guide to DataOps Software

Chris Bergh · December 6, 2022
DataOps Observability and Automation to the Rescue!

DataOps Observability and Automation to the Rescue!

Chris Bergh · December 1, 2022
DataOps For Beginners

DataOps For Beginners

Chris Bergh · February 18, 2022
What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

Chris Bergh · October 28, 2021
What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

Chris Bergh · June 7, 2021
Managing Data Analytics Is More Like Running A Restaurant Than You Think

Managing Data Analytics Is More Like Running A Restaurant Than You Think

Chris Bergh · April 5, 2021
Why DevOps Tools Fail at DataOps

Why DevOps Tools Fail at DataOps

Chris Bergh · October 26, 2020
Why Are There So Many *Ops Terms?

Why Are There So Many *Ops Terms?

Chris Bergh · May 5, 2020
A Note to Our Customers on Covid-19

A Note to Our Customers on Covid-19

Chris Bergh · March 23, 2020
Gartner: “Select a DataOps Platform for 2020”

Gartner: “Select a DataOps Platform for 2020”

Chris Bergh · March 3, 2020
DataOps Aphorisms

DataOps Aphorisms

Chris Bergh · February 14, 2020
Iowa Caucuses, do your DataOps

Iowa Caucuses, do your DataOps

Chris Bergh · February 4, 2020
How to Get Started with DataOps

How to Get Started with DataOps

Chris Bergh · December 17, 2019
A summary of Gartner’s Recent DataOps Report and recommendations

A summary of Gartner’s Recent DataOps Report and recommendations

Chris Bergh · November 1, 2019
Gartner Research Names DataKitchen “Cool Vendor”

Gartner Research Names DataKitchen “Cool Vendor”

Chris Bergh · June 30, 2019
451 Group On DataKitchen

451 Group On DataKitchen

Chris Bergh · June 24, 2019
Gartner Puts DataOps on the Rise in 2018

Gartner Puts DataOps on the Rise in 2018

Chris Bergh · July 24, 2018
Welcome to the DataKitchen Company Blog

Welcome to the DataKitchen Company Blog

Chris Bergh · June 18, 2018