What Is DataOps? Automating Data Pipelines & Reducing Errors | Chris Bergh
In this episode, Chris Bergh—CEO and Co-Founder of DataKitchen—shares the origin story of DataOps and how it’s transforming data team productivity. Drawing parallels to DevOps, Chris explains how treating “data like a factory” helps teams reduce cycle time, lower errors, and deliver analytics faster. He discusses lean principles, defining “done” and “good,” and balancing heroism with repeatable processes. You’ll learn the seven steps to implementing DataOps, how automation simplifies orchestration, and how the same principles apply to both data engineering and MLOps.
Read the full show notes and transcript:
https://datatalks.club/podcast/s08e05...
Timestamps:
01:20 Introduction: CEO Chris Bergh and DataOps Origin Story
02:01 Career Shift: Managing Data Teams; Realizing Process Problems
04:15 Concept: Data as a Factory; Agile Software & Hard Hats
00:06:45 DataOps Essence: Lowering Errors; Cycle Time; Productivity
00:13:20 Naming DataOps; DevOps Analogy; Stressful Data Work
00:21:02 Defining "Done" and "Good"; Balance: Heroism vs. Fear
00:28:14 Lean Principles; Two Iteration Cycles; Avoiding Silos
00:34:37 Tool: Seven Steps to DataOps; Automate Checklists
00:39:46 Career Goal: Replaceability; Avoiding the Technical Hairball
00:44:12 DataOps Adoption Challenges; 15% Time for Process
00:50:55 Concept: DataOps vs. MLOps (Same Principles Applied)
00:56:40 DataKitchen Platform: Automating Environments and Orchestration
01:00:52 Resources: DataOps Cookbook, Manifesto, and Manager Book
Links:
DataOps Manifesto website: https://dataopsmanifesto.org/en/
DataOps Cookbook: https://dataops.datakitchen.io/pf-coo...
Recipes for DataOps Success: https://dataops.datakitchen.io/pf-rec...
DataOps Certification Course: https://info.datakitchen.io/training-...
DataOps Blog: https://datakitchen.io/blog/
DataOps Maturity Model: https://datakitchen.io/dataops-maturi...
DataOps Webinars: https://datakitchen.io/webinars/
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
#DataOps #DataEngineering #MLOps #Analytics #Automation #DevOps #DataKitchen #LeanData #DataPipelines