Data Governance Field Library
John Wernfeldt, Data Engineering BytePractical tools, templates, and resources for data governance practitioners and leaders
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 21 | Founded | 4 months ago | Last Issue | 24 days ago |
| Active | |||||
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datagovernancefieldlibrary.substack...Latest Issues
The Data Steward Playbook: the hands-on guide for the person who keeps data usable
Your owner decides. You execute. Here is what that actually looks like.
Everybody talks about data ownership. Nobody talks about stewardship.
The 30-Day Data Governance Fix: a four-week playbook for data governance that actually works
Most data governance programs try to govern everything before proving they can govern anything.
Someone gets approval for an enterprise-wide initiative. Three months go into the operating model. Councils form. Policies get written. A catal...
Free data governance bundle for my subscribers
I teamed up with Wendy S. Batchelder and Packt to put two governance guides together as a free bundle. First 100 people get it at no cost. After that it is $35.99.
The 30-Day Reset template kit normally runs $39. Wendy’s Data Governance Ha...
The Data Ownership Mapping Canvas: find the ghost owners before they cost you
A practical tool for mapping accountability and exposing the gaps nobody talks about.
There is a specific failure pattern I see in almost every governance program. It goes like this:
You just got named as data owner. Now what?
A practical playbook for the job nobody explains.
Someone handed you a data domain and said “you own this now.” Maybe it came with a title. Maybe it came with a one-line Slack message. Almost certainly it came without an instruction manual...
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| Subscribers | Engagement | 76 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
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Authors
The writers behind this newsletter.
Writing about data governance, analytics, and AI. Ownership, decision rights, and why teams keep arguing about the numbers.
Essential insights for data engineers—delivered in bytes
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